Patent Publication Number: US-10778900-B2

Title: Method and system for dynamically adjusting camera shots

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
     This application claims priority to U.S. patent application Ser. No. 62/639,230, filed on Mar. 6, 2018, entitled “A Software Program that Adjusts the Aperture and Zoom of a Camera in Response to Sound Variation,” the entirety of which is incorporated herein by reference. 
    
    
     FIELD OF THE INVENTION 
     The present invention relates to adjusting camera shots based on audio level or user facial expression. 
     BACKGROUND OF THE INVENTION 
     The prevalence and convenience of cameras, particularly by way of smartphones, have seen a remarkable growth in “amateur” production of video content. Moreover, the “selfie” generation, coupled with social media outlets, has caused more and more content to be generated. The notion of a “selfie” is that the camera operator self-operates the camera without assistance from anyone else, such that the camera operator is also the subject of the photo or video recording. At times, these self-productions can be monetized. With instructional and reality-based content, everyone is a potential producer. As such, monetization demands greater quality in the video production. However, most camera operators/producers traditionally do not have training in filmmaking to improve their production quality, without additional resources and expense. 
     Therefore, there is a need for a mechanism to assist with camera shot making that supports single user operation. 
     SUMMARY OF THE INVENTION 
     According to one embodiment, a method comprises receiving an audio signal via a microphone of a mobile device during video recording of a subject by a camera of the mobile device. The method also comprises determining, at the mobile device, an audio level in a vicinity of the subject based on the received audio signal, wherein the audio level is based on sounds produced by the subject. The method further comprises determining that the audio level triggers a shot adjustment state. The method also comprises dynamically adjusting, in response to the shot adjustment state, one or more camera parameters of the camera to alter shot of the subject by the camera during the video recording. The camera parameters relate to either zoom control, aperture, lighting, or a combination thereof. Alternatively, the method comprises detecting facial expression of the subject; and determining that the facial expression triggers the shot adjustment state, wherein the dynamic adjustment is further based on the detected facial expression. 
     According to another embodiment, an apparatus comprises at least one processor, and at least one memory including computer program code for one or more computer programs, the at least one memory and the computer program code configured to, with the at least one processor, cause, at least in part, the apparatus to receive an audio signal via a microphone of a mobile device during video recording of a subject by a camera of the mobile device. The apparatus is also caused to determine, at the mobile device, an audio level in a vicinity of the subject based on the received audio signal, wherein the audio level is based on sounds produced by the subject. The apparatus is further caused to determine that the audio level triggers a shot adjustment state. The apparatus is further caused to dynamically adjust, in response to the shot adjustment state, one or more camera parameters of the camera to alter shot of the subject by the camera during the video recording. The camera parameters relate to either zoom control, aperture, lighting, or a combination thereof. Alternatively, the apparatus is further caused to detect facial expression of the subject; and to determine that the facial expression triggers the shot adjustment state, wherein the dynamic adjustment is further based on the detected facial expression. 
     According to another embodiment, a system comprises a mobile device configured to receive an audio signal via a microphone of a mobile device during video recording of a subject by a camera of the mobile device; and an audio processing module configured to determine an audio level in a vicinity of the subject based on the received audio signal, wherein the audio level is based on sounds produced by the subject. The system also comprises a facial recognition module configured to detect facial expression of the subject; and a shot adjustment module configured to determine that the audio level or the facial expression triggers a shot adjustment state, and to instruct a camera controller within the mobile device to dynamically adjust, in response to the shot adjustment state, one or more camera parameters of the camera to alter shot of the subject by the camera during the video recording. The camera parameters relate to either zoom control, aperture, lighting, or a combination thereof. 
     In addition, for various example embodiments of the invention, the following is applicable: a method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on (or derived at least in part from) any one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention. 
     Still other aspects, features, and advantages of the invention are readily apparent from the following detailed description, simply by illustrating a number of particular embodiments and implementations, including the best mode contemplated for carrying out the invention. The invention is also capable of other and different embodiments, and its several details can be modified in various obvious respects, all without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings: 
         FIGS. 1A and 1B  are, respectively, diagrams of a mobile device configured to provide zoom level or aperture control based on audio level within vicinity of the subject, according to various embodiments; 
         FIGS. 1C and 1D  are, respectively, diagrams of a mobile device configured to provide zoom level or aperture control based on facial expressions of the subject, according to various embodiments; 
         FIG. 2  is a diagram of possible configurations for use of multiple devices to provide dynamic camera shot making, according to various embodiments; 
         FIG. 3  is a diagram of the functional components of the mobile device of  FIGS. 1A-1D , according to one embodiment; 
         FIG. 4  is a diagram of a graphical user interface (GUI) for camera control mode selection via the mobile device of  FIGS. 1A-1D , according to one embodiment; 
         FIG. 5  is a diagram of a graphical user interface (GUI) for film mode selection via the mobile device of  FIGS. 1A-1D , according to one embodiment; 
         FIG. 6  is a flowchart of a process for dynamic adjustment of camera parameters based on audio levels, according to an exemplary embodiment; 
         FIG. 7  is a flowchart of a process for dynamic adjustment of camera parameters based on facial expression, according to an exemplary embodiment; 
         FIG. 8  is a flowchart of a process for generating camera instructions based on pacing of speech, according to an exemplary embodiment; 
         FIG. 9  is a flowchart of a process for determining audio level from multiple audio signal sources, according to an exemplary embodiment; 
         FIG. 10  is a diagram of system capable of providing dynamic adjustment of camera shots via a video platform, according to an exemplary embodiment; 
         FIG. 11  is a diagram of a chip set that can be used to implement an embodiment of the invention; and 
         FIG. 12  is a diagram of a mobile device (e.g., handset) that can be used to implement an embodiment of the invention. 
     
    
    
     DESCRIPTION OF THE PREFERRED EMBODIMENT 
     Examples of approaches for providing segment-based viewing of a watermarked recording are disclosed. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It is apparent, however, to one skilled in the art that the embodiments of the invention may be practiced without these specific details or with an equivalent arrangement. In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the embodiments of the invention. 
       FIGS. 1A and 1B  are, respectively, diagrams of a mobile device configured to provide zoom level or aperture control based on audio level within vicinity of the subject, according to various embodiments. The popularity of self-production of video content, such as video blogging (i.e., vlogging), stems in part because it is cost-effective and is an autonomous activity. Many of the creators work independently, and as such do not have camera operators to improve the quality of their recordings. In recognition of this problem, a process and associated system are introduced to enhance video production without incurring the cost of human resources, e.g., camera operator or cinema topographer. Notably, the process imitates the choices a camera operator or cinema topographer would make in response to emotional choices that a subject makes while filming. 
     As shown in  FIG. 1A , a mobile device  100 , such as a smartphone, portable computer, or a tablet device, includes one or more cameras  101  and a microphone  103  to capture an image and/or video recording of a subject  105 . In this example, one of the cameras is aimed towards the same side as display  107 , while the other one (not shown) is typically on the backside of the mobile device  100  and aimed at the subject  105 . It is contemplated that the mobile device  100  can be turned around such that the camera  101  faces the subject; that is, the subject  105  can view the display  107 . Under both scenarios, the microphone  103  can detect audio signals emanating in the direction of the subject  105 , who can generate sounds  109  from speech or other means, such as any audible sounds from the vocal chords or objects (e.g., papers that can be rustled, whistles, etc.). Such sound variations can then be used as a control mechanism for the camera  101 . 
     By way of example, the subject  105  is acting out a scene in which a document is been read as part of the video recording, the subject  105  can zoom in by speaking softly for dramatic effect; thus, subject  105  creates sound  109 , which is an audio level that triggers a shot adjustment state whereby the camera  101  is instructed to zoom. Display  107  consequently shows a zoomed image of the subject  105  around the facial area. As such, the mobile device  100  effectively identifies facial cues and volume and pitch changes that represent emotional changes in the speaker  105 . The shot change to a zoom shot is made to correspond to the emotion being displayed by the subject  105 . Accordingly, the device  100  is configured to emulate filmmaking styles as to increase the emotional intensity or impact of the shot. The degree of zoom can be preset based on the film mode selected (this selection process is detailed in  FIG. 4 ). It is noted that two different types of zooming may be supported by the mobile device  100 : digital zoom and lens zooming. Because digital zoom can result in poorer resolution, the film mode may limit the digital zoom level accordingly. The return to the original shot can be based on when the audio level changes between a range or satisfies a threshold, or by another action by the subject. In  FIG. 1B , the subject  105  can speak loudly to a point that triggers the mobile device  109  to detect an elevated audio level beyond a range (or threshold) to pan out. The wide shot is produced according to the selected film mode as to conform to a style of filmmaking. 
     It is noted that in addition to the zoom level, the mobile device  100  enables adjustment of the aperture (not shown). Aperture pertains to the amount of light that is passed through the camera len&#39;s diaphragm, affecting depth of field and shutter speed. The camera  101  can change aperture based on changes in volume. For instance, when the microphone  103  records quieter sounds, this triggers the camera  101  to change to a larger aperture (i.e., smaller f-number), thereby blurring the background and focusing on the foreground. When the microphone  103  picks up louder sounds, this triggers the camera  101  to cause the aperture to get smaller, which would expand the focus to include the foreground and the background. Medium volume can return the aperture to a standard size, for example. Moreover, the aperture setting is based on the film mode. It is contemplated that other camera parameters may be controlled, such as lighting, a flash (not shown) of the mobile device  100 . 
     The shot adjustment of the mobile device  100  can also be controlled dynamically through facial expressions formed by the subject  109 . This capability advantageously provides for autonomous adjustment of the camera  101  based on what the subject  105  is doing and saying, not just the static recognition of the subject&#39;s presence. 
       FIGS. 1C and 1D  are, respectively, diagrams of a mobile device configured to provide zoom level or aperture control based on facial expressions of the subject, according to various embodiments. The mobile device  100 , under this scenario, has facial recognition capabilities, whereby the facial expressions of the subject can be rendered and processed to determine whether the expression  111  triggers a shot adjustment state. The mobile device  100  may support a number of different predetermined expressions of the subject, such that the captured expression  111  is compared with these predetermined expressions. In this example, the subject makes an expression  111  indicating shock or alarm, which is identified as corresponding to one of the predetermined set of expressions that will trigger a zoom function. As such, the camera  101  is instructed to zoom to a certain zoom shot specified according to the film mode; it is noted that the view of the display  107  would be facing the subject (although for illustrative purposes, the mobile device  100  is shown in this manner). Again, the original shot mode may resume after a predetermined time period, expression  111  changes to another recognized expression, or by an action of the subject  101 ; further these aspects may be according to the film mode. 
       FIG. 1D  depicts a situation whereby the mobile device  100  detects that the subject  105  have an expression  111  in which the subject is smiling. This expression  111  causes the camera  101  to pan out into a wide shot until, for example, the expression changes to one that corresponds to an original shot mode. 
     Table 1 below illustrates some exemplary control scenarios for zoom level and aperture (as default settings): 
     
       
         
           
               
             
               
                 TABLE 1 
               
               
                   
               
               
                 FILM SHOT CONTROL SCENARIOS 
               
               
                   
               
             
            
               
                   
               
            
           
           
               
               
               
            
               
                   
                 a) 
                 Zoom based on volume: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 Louder = zoom out 
               
               
                   
                 ii) 
                 Quieter = zoom in 
               
            
           
           
               
               
               
            
               
                   
                 b) 
                 Aperture based on volume: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 Louder = bigger f value 
               
               
                   
                 ii) 
                 Quieter = smaller f value 
               
            
           
           
               
               
               
            
               
                   
                 c) 
                 Zoom based on facial recognition: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 serious/sad expression = zoom in 
               
               
                   
                 ii) 
                 excited/angry expression = zoom out 
               
            
           
           
               
               
               
            
               
                   
                 d) 
                 Aperture based on facial recognition: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 serious/sad expression = smaller f value 
               
               
                   
                 ii) 
                 Excited/angry expression = larger f value 
               
            
           
           
               
               
               
            
               
                   
                 e) 
                 Zoom based on motion detection: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 Stillness = zoom in 
               
               
                   
                 ii) 
                 Motion = zoom out 
               
            
           
           
               
               
               
            
               
                   
                 f) 
                 Aperture based on motion detection: 
               
            
           
           
               
               
               
            
               
                   
                 i) 
                 Stillness = smaller f value 
               
               
                   
                 ii) 
                 Motion = larger f value 
               
               
                   
                   
               
            
           
         
       
     
     In addition, the user can configure the various camera parameters manually. That is, the user can change any of the cause and effect relationships listed in Table 1 as well as turn on/off any of the features. The user can also select a range for any of the features to customize/personalize the settings. For instance, the various features can be set in the following ways, as in Table 2: 
     
       
         
           
               
             
               
                   
               
               
                 CAMERA SHOT SETTINGS 
               
               
                   
               
             
            
               
                   
               
            
           
           
               
               
            
               
                  1) 
                 Zoom Speed 
               
            
           
           
               
               
               
               
            
               
                   
                   
                 (1) 
                 Change how quickly it zooms in/out 
               
            
           
           
               
               
            
               
                  2) 
                 Zoom Decibel Range 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 Can change how the camera responds to the inputs 
               
               
                   
                   
                 (i.e. zoom in when speaker is louder) 
               
            
           
           
               
               
            
               
                  3) 
                 Aperture Speed 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 Change how quickly the aperture refocuses 
               
            
           
           
               
               
            
               
                  4) 
                 Aperture (f) number range 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 Can select how far the aperture can change 
               
            
           
           
               
               
            
               
                  5) 
                 Primary/Secondary Subjects 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 The user can select the subjects to focus on for 
               
               
                   
                   
                 filming/listening 
               
            
           
           
               
               
            
               
                  6) 
                 Filters 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 The user can adjust camera filters to create 
               
               
                   
                   
                 different ambiance for the shots 
               
            
           
           
               
               
            
               
                  7) 
                 Brightness 
               
               
                  8) 
                 Day or Night Setting 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 The user can change the brightness level and the 
               
               
                   
                   
                 use of a light on the camera 
               
            
           
           
               
               
            
               
                  9) 
                 Microphone Range 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 Can calibrate the software to the speaker&#39;s normal 
               
               
                   
                   
                 volume, 
               
            
           
           
               
               
            
               
                 10) 
                 Microphone Preferences 
               
            
           
           
               
               
               
            
               
                   
                 (1) 
                 If using multiple microphones the user can select 
               
               
                   
                   
                 which microphones will adjust camera features or 
               
               
                   
                   
                 can use all inputs from multiple microphones 
               
               
                   
                   
               
            
           
         
       
     
       FIG. 2  is a diagram of possible configurations for use of multiple devices to provide dynamic camera shot making, according to various embodiments. Under this scenario, multiple mobile devices  201 ,  203  may communicate to improve the accuracy of detecting the audio levels by using two microphones  211 ,  213 . For example, the mobile device  100 , acting as the primary device, establishes communication with the mobile device  203 , which is designated the secondary device. The communication connection is wireless via WiFi or Bluetooth, for instance. In this way, the audio signal captured by the microphone  213  of the secondary device  203  can be transmitted to the primary device  201  for processing with the audio signal captured by the primary device&#39;s microphone  211 . If facial expression is to be used to control the type of shot, the secondary device  203  may capture the expression of the subject  105  and transmit the image to the primary device  201  to assist with facial recognition. The image, certain embodiments, is a single frame or a pre-determined number of frames for effective processing. Because the devices  201 ,  203  may be capturing the subject  105  from different angles, such diversity improves accuracy of the facial expression detection. 
     Alternatively or additionally, the mobile device  201  may instead connect wirelessly to a peripheral device  205  that has audio capture capability, such as a standalone microphone or a speaker with a microphone. Accordingly, the peripheral device  205  may be placed closer to the subject  105  to more accurately record any sounds or utterances from the subject  105 . Through proper placement of the devices  201 ,  205 , the subject  105  who is speaking (assuming there are multiple people in the shot) and then isolate the sound from the closest microphone, e.g., device  205 . As such, the microphones can be configured to directionally record, such that variable sound recording levels can be controlled to increase or decrease to provide greater isolation. This can more accurately determine camera angle, zoom, aperture, and lighting proportionality by isolating the location of the speaker and picking up the sound as cleanly as possible. 
     Under the scenario in which multiple mobile devices  201 ,  203  are utilized, a combination of facial recognition, sound direction/distance, and body movements, the cameras  211 ,  213  capture various angles of a given subject  105  or area based on changes in the speaker&#39;s face and voice. In one embodiment, the additional camera can be in form of a drone, whereby the done in the air flying around the subject  105  can automatically adjust its relative position to obtain a high angle shot, face level shot, and lower angle shot. Proportionally, presets can help determine distance, angle, sound levels, and zoom. Additionally, a user can customize all of these same elements as well as adjust speed, pace of angles, etc. 
       FIG. 3  is a diagram of the functional components of the mobile device of  FIGS. 1A-1D , according to one embodiment. To accomplish the various functions described herein, the mobile device  100  (of  FIGS. 1A-1D ) includes an audio processing module  301 , a speech processor  303 , a film mode selection module  305 , a shot adjustment module  307 , a camera controller  309 , a facial recognition module  311 , and a wireless communication module  313 . Although indicated as modules, these components  301 - 313  may be implemented in a combination of hardware and software to enable dynamic adjustment of camera shots. Specifically, the audio processing module  301  receives one or more audio signals from the microphone  103  to determine the audio level. To accomplish this, the audio processing module  301  may apply various audio filters to ensure the captured audio signals emanate from the proximity of the subject. The module  301  may also calibrate the audio level based on the ambience noise level; for example, if the shot is been taken within an urban setting, perhaps the sounds of traffic can be mitigated. The audio signals are input to the speech processor  303  to detect whether intelligible speech can be discern from the subject  105 . As will be explained later, the speech processor  303  can additionally determine the pacing or cadence of the speech. 
     As shown, the film mode selection module  305  allows a user to select the particular filming styles, which effectively provides default configuration settings for the camera parameters to implement the selected film mode. The film mode selection module  305  can support various film modes, e.g.: sports/action, slow motion, extreme close-up, indie film, documentary, extreme pan, film noir, monologue, video blog (vlog) monologue, or customized. These modes can be presented for selection by the user using a graphical user interface (GUI), as that shown in  FIG. 5 . Once the user inputs a selection, the shot adjustment module  307  instructs the camera controller  309  accordingly to produce shots according to camera control settings corresponding to the selected film mode. 
     The mobile device  100  additional has a facial recognition module  311  to capture the facial expression of the subject  105  for processing to determine the type of expression the subject  105  is emoting. Further, the facial recognition module  311  employs state of the art facial and eye retina technology. Once the expression is determined by the module  311  in conjunction with the shot adjustment module  307 , the shot adjustment module  307  generates control instructions to the camera controller  309  specifying the camera parameters, e.g., zoom control, aperture, lighting, or a combination thereof. 
     To support a multi-device arrangement of  FIG. 2 , the mobile device  100  includes wireless communication module  313  to communicate with another mobile device or a peripheral device. Such communication, for instance, can be via wireless networking technology (e.g., WiFi, etc.) or short-range wireless communication technology (e.g., near-field communications (NFC), Bluetooth, ZigBee, infrared transmission, etc.). 
       FIG. 4  is a diagram of a graphical user interface (GUI) for camera control mode selection via the mobile device of  FIGS. 1A-1D , according to one embodiment. As evident from the exemplary scenarios of  FIGS. 1A-1D , dynamic adjustment of camera shots can be triggered based on audio levels and/or facial expressions. Thus, the mobile device  100  provides for designation of these various control modes. As shown, GUI  401  includes the following three sections to enable input by the user: an audio level control mode  403 , a facial control mode  405 , and an audio level and facial control mode  407 . With the audio level control mode  403 , the device  100  is strictly controlling camera shots based on the audio level associated with the subject  105  (as in  FIGS. 1A and 1B ). Alternatively, the facial control mode  405  permits control of the filming by the detected expressions of the subject  105 ; such mode may be preferred in a setting in which the noise level must be kept to a minimum, such as a library or a church. Additionally, the mobile device  100  supports the capability to adjust film shots using both audio levels and facial expressions. 
     This capability to dynamically adjust film shots could be utilized in a number of media fields. These fields may include television, music videos, films, as well as individual filming. By way of example, the dynamic shot making capability has tremendous application in wildlife management; e.g., placing cameras placed in the field would zoom in on sources of sound they could be more effective at finding animals. Many other applications are contemplated depending on the subject matter, e.g., a musician self-filming a music video. 
       FIG. 5  is a diagram of a graphical user interface (GUI) for film mode selection via the mobile device of  FIGS. 1A-1D , according to one embodiment. In this example, the mobile device  100  provides a GUI  501  to allow a user to select a particular film mode, such that the camera parameters are pre-set or pre-configured according to the selected film mode. That is, film modes or styles dictate when and how and at what degree of zooming levels are used; the aperture settings and/or flash control may be set accordingly as well. By way of example, the following film modes are provided: a sports/action mode  503 , a slow motion mode  505 , an extreme close-up mode  507 , an indie film mode  509 , a documentary mode  511 , an extreme pan mode  513 , a film noir mode  515 , a monologue mode  517 , a video blog (vlog) monologue mode  519 , or a customized mode  521 . 
     Details of certain film modes are described as follows for the purposes of illustration. With the sports/action mode  503 , zoom range is large and changes quickly, f value is large and does not change; the zooming and aperture are triggered by changes in motion and volume, not emotional facial recognition. Also, the sports/action mode  503  can have filters to provide high contrast, vibrancy, and saturation. In the extreme close-up mode  507 , for example, zoom range is minimal, and f value is small and does not change; these parameters are triggered by changes in voice and emotional facial recognition, and not motion. For indie film mode  509 , the zoom range is minimal, and f value varies based on input; the changes in shots are primarily by emotional facial recognition, and the filter is marked by Low saturation and clarity. With film noir mode  515 , the zoom range is moderate, and f value varies based on input; adjustment is triggered by voice, face, and movement. In the case of the monologue mode  517 , the zoom range is moderate, and f value is small and does not change; adjustment is triggered by voice, face, and movement. The other film mode have different characteristics. 
     With customized mode  521 , the user can pre-select the following elements prior to filming: (1) subjects/objects within scene; (2) primary/secondary subjects/angles (when employing multiple cameras); (3) angle preferences; (4) camera priorities (e.g., in  FIG. 2 , camera  211  follows subject  105 ). Based on these preferences, users can select how they want to film a scene and the stylistic elements to be included; e.g., talking scene between subject (A) and subject (B) can have a level angle and low angle. Upon subject (A) speaking, a secondary camera can perform a dolly zoom at a level angle while also focused on subject (B). Simultaneously, primary camera (high angle) can shoot a wide angle shot on subject (A). 
     It is contemplated that other film modes can be supported; e.g., a mode can be developed to be in the style of a renowned director or cinematographer. 
       FIG. 6  is a flowchart of a process for dynamic adjustment of camera parameters based on audio levels, according to an exemplary embodiment. Continuing with the example of  FIGS. 1A-1D  and  FIG. 2 , the mobile device  100  can execute process  600 , which provides camera shot adjustments dynamically. In step  601 , an audio signal is received via a microphone  103  of the mobile device  100  during video recording of the subject  105  by the camera  101  of the mobile device  100 . The audio signal represents the sounds around the subject  105  or emanating from the subject  105  either as speech or other utterances or sounds. The audio signal is processed by the audio processing module  301  and the speech processor  303  to determine, as in step  603 , the audio level in a vicinity of the subject  105  based on the received audio signal. Again, as explained, the audio level is based on sounds produced by the subject  105  and other surrounding sounds, which can be filtered out by the audio processing module  301 . In step  605 , the shot adjustment module  307  determines that the audio level triggers a shot adjustment state. This trigger can be based on a predetermined threshold level (e.g., expressed in decibels) or range of levels, as set by the film mode. In step  607 , the shot adjustment module  307  instructs the camera controller  309  to dynamically adjust, in response to the shot adjustment state, one or more camera parameters of the camera  101  to alter shot of the subject  105  by the camera  101  during the video recording. The dynamic adjustment stems from the fact that the camera control is occurring during the video recording versus modification of the video recording during editing or post-production. In one embodiment, the camera parameters relate to either zoom control, aperture, lighting, or a combination thereof. 
       FIG. 7  is a flowchart of a process for dynamic adjustment of camera parameters based on facial expression, according to an exemplary embodiment. Alternatively, the mobile device  100  can execute process  700 , and detect facial expression of the subject  105  using the facial recognition module  311  (step  701 ); and determine, via that shot adjustment module  307 , that the facial expression triggers the shot adjustment state, per step  703 . As noted earlier, adjustment via facial expression can be an additional (as well as alternative) feature overlaid onto the audio level. Under this scenario, the dynamic adjustment using facial expressions is an additional feature; and thus, the dynamic adjustment is further based on the detected facial expression, per step  705 . 
       FIG. 8  is a flowchart of a process for generating camera instructions based on pacing of speech, according to an exemplary embodiment. Under this scenario, the mobile device  100  executes process  800  by utilizing the speech processor  303  (of  FIG. 3 ) to detect speech of the subject  105 , as in step  801 . Next, the speech processor  303  determines pace or cadence of the speech from the subject  105 , per step  803 . The shot adjustment module  307  then, per step  805 , generates a camera instruction message to change zoom level or aperture setting of the camera  101  based on the determined pace of the speech. It is contemplated that the process  800  can be executed as a complement to the processes  600  and  700 . 
     Two scenarios are described for the purposes of illustration. The subject  105  speaks fast and then changes the rate of speech to a much slower pace. This change can result in the camera zooming in closer as well as the aperture getting larger (i.e., smaller f-number). If the subject  105  increases the pace or rate of words then the camera zooms out and the aperture is set to a smaller value (i.e., larger f-number). 
     In the next scenario, the subject  105  has playing music in the shot, and the pace of the music speeds up. This can cause the camera  101  to zoom out as well as the aperture setting being reduced (i.e., larger f-number). Alternatively, if the pace or speed of the music slows down then the camera  101  would zoom in and the aperture would get larger (smaller f-number). 
       FIG. 9  is a flowchart of a process for determining audio level from multiple audio signal sources, according to an exemplary embodiment. Process  900  is described according to the example of  FIG. 2 . The mobile device  201  is designated as a primary device, and detects the presence of a second device, which is either the mobile device  203  or the peripheral device  205 , as in step  901 . By way of example, the secondary device is the mobile device  203 . In step  903 , the primary device  201  establishes communication with the mobile device  203 , which is designated the secondary device. The communication connection is wireless via WiFi or Bluetooth, for instance. During the video recording of the subject  105  by the primary device  201 , the secondary device  203  is also concurrently recording the subject  105 . The audio signal captured by the microphone  213  of the secondary device  203  during such recording can be transmitted to the primary device  201  for processing. In step  905 , the primary device  201  receives the secondary audio signal from the second device  203 , and determines the audio level using the primary audio signal and the secondary audio signal. 
     Although the process  900  is described with respect to the audio level based control, it is noted that use of the mobile device  203  can greatly improve the facial expression based control. That is, because the devices  201 ,  203  can be strategically placed to capture the face of the subject  105  from different angles, greater accuracy of the facial expression detection can be achieved. It is also contemplated that the two devices  201 ,  203  can concurrently use its respective facial recognition modules to detect the expression, whereby the first device to detect the expression will prevail. In other words, if the secondary device  203  completes the detection first, the device  203  can forward such information to the primary device  201 . This capability is advantageous if the secondary device  203  has greater processing power than the primary device  201 . 
     The processes described herein for dynamic shot adjustment may be advantageously implemented via software, hardware (e.g., general processor, Digital Signal Processing (DSP) chip, an Application Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGAs), etc.), firmware or a combination thereof. Such exemplary hardware for performing the described functions is detailed below. 
       FIG. 10  illustrates a computer system  1000  upon which an embodiment of the invention may be implemented. Although computer system  1000  is depicted with respect to a particular device or equipment, it is contemplated that other devices or equipment (e.g., network elements, servers, etc.) within  FIG. 10  can deploy the illustrated hardware and components of system  1000 . Computer system  1000  is programmed (e.g., via computer program code or instructions) to dynamically adjust camera parameters to alter film shots as described herein and includes a communication mechanism such as a bus  1010  for passing information between other internal and external components of the computer system  1000 . Information (also called data) is represented as a physical expression of a measurable phenomenon, typically electric voltages, but including, in other embodiments, such phenomena as magnetic, electromagnetic, pressure, chemical, biological, molecular, atomic, sub-atomic and quantum interactions. For example, north and south magnetic fields, or a zero and non-zero electric voltage, represent two states (0, 1) of a binary digit (bit). Other phenomena can represent digits of a higher base. A superposition of multiple simultaneous quantum states before measurement represents a quantum bit (qubit). A sequence of one or more digits constitutes digital data that is used to represent a number or code for a character. In some embodiments, information called analog data is represented by a near continuum of measurable values within a particular range. Computer system  1000 , or a portion thereof, constitutes a means for performing one or more steps of a segment-based viewing of a watermarked recording. 
     A bus  1010  includes one or more parallel conductors of information so that information is transferred quickly among devices coupled to the bus  1010 . One or more processors  1002  for processing information are coupled with the bus  1010 . 
     A processor (or multiple processors)  1002  performs a set of operations on information as specified by computer program code related to a segment-based viewing of a watermarked recording. The computer program code is a set of instructions or statements providing instructions for the operation of the processor and/or the computer system to perform specified functions. The code, for example, may be written in a computer programming language that is compiled into a native instruction set of the processor. The code may also be written directly using the native instruction set (e.g., machine language). The set of operations include bringing information in from the bus  1010  and placing information on the bus  1010 . The set of operations also typically include comparing two or more units of information, shifting positions of units of information, and combining two or more units of information, such as by addition or multiplication or logical operations like OR, exclusive OR (XOR), and AND. Each operation of the set of operations that can be performed by the processor is represented to the processor by information called instructions, such as an operation code of one or more digits. A sequence of operations to be executed by the processor  1002 , such as a sequence of operation codes, constitute processor instructions, also called computer system instructions or, simply, computer instructions. Processors may be implemented as mechanical, electrical, magnetic, optical, chemical, or quantum components, among others, alone or in combination. 
     Computer system  1000  also includes a memory  1004  coupled to bus  1010 . The memory  1004 , such as a random access memory (RAM) or any other dynamic storage device, stores information including processor instructions for a segment-based viewing of a watermarked recording. Dynamic memory allows information stored therein to be changed by the computer system  1000 . RAM allows a unit of information stored at a location called a memory address to be stored and retrieved independently of information at neighboring addresses. The memory  1004  is also used by the processor  1002  to store temporary values during execution of processor instructions. The computer system  1000  also includes a read only memory (ROM)  1006  or any other static storage device coupled to the bus  1010  for storing static information, including instructions, that is not changed by the computer system  1000 . Some memory is composed of volatile storage that loses the information stored thereon when power is lost. Also coupled to bus  1010  is a non-volatile (persistent) storage device  1008 , such as a magnetic disk, optical disk or flash card, for storing information, including instructions, that persists even when the computer system  1000  is turned off or otherwise loses power. 
     Information, including instructions for a segment-based viewing of a watermarked recording, is provided to the bus  1010  for use by the processor from an external input device  1002 , such as a keyboard containing alphanumeric keys operated by a human user, a microphone, an Infrared (IR) remote control, a joystick, a game pad, a stylus pen, a touch screen, or a sensor. A sensor detects conditions in its vicinity and transforms those detections into physical expression compatible with the measurable phenomenon used to represent information in computer system  1000 . Other external devices coupled to bus  1010 , used primarily for interacting with humans, include a display device  1004 , such as a cathode ray tube (CRT), a liquid crystal display (LCD), a light emitting diode (LED) display, an organic LED (OLED) display, a plasma screen, or a printer for presenting text or images, and a pointing device  1006 , such as a mouse, a trackball, cursor direction keys, or a motion sensor, for controlling a position of a small cursor image presented on the display  1014  and issuing commands associated with graphical elements presented on the display  1014 , and one or more camera sensors  1094  for capturing, recording and causing to store one or more still and/or moving images (e.g., videos, movies, etc.) which also may comprise audio recordings. In some embodiments, for example, in embodiments in which the computer system  1000  performs all functions automatically without human input, one or more of external input device  1002 , display device  1004  and pointing device  1006  may be omitted. 
     In the illustrated embodiment, special purpose hardware, such as an application specific integrated circuit (ASIC)  1020 , is coupled to bus  1010 . The special purpose hardware is configured to perform operations not performed by processor  1002  quickly enough for special purposes. Examples of ASICs include graphics accelerator cards for generating images for display  1014 , cryptographic boards for encrypting and decrypting messages sent over a network, speech recognition, and interfaces to special external devices, such as robotic arms and medical scanning equipment that repeatedly perform some complex sequence of operations that are more efficiently implemented in hardware. 
     Computer system  1000  also includes one or more instances of a communications interface  1070  coupled to bus  1010 . Communication interface  1070  provides a one-way or two-way communication coupling to a variety of external devices that operate with their own processors, such as printers, scanners and external disks. In general the coupling is with a network link  1078  that is connected to a local network  1080  to which a variety of external devices with their own processors are connected. For example, communication interface  1070  may be a parallel port or a serial port or a universal serial bus (USB) port on a personal computer. In some embodiments, communications interface  1070  is an integrated services digital network (ISDN) card or a digital subscriber line (DSL) card or a telephone modem that provides an information communication connection to a corresponding type of telephone line. In some embodiments, a communication interface  1070  is a cable modem that converts signals on bus  1010  into signals for a communication connection over a coaxial cable or into optical signals for a communication connection over a fiber optic cable. As another example, communications interface  1070  may be a local area network (LAN) card to provide a data communication connection to a compatible LAN, such as Ethernet. Wireless links may also be implemented. For wireless links, the communications interface  1070  sends or receives or both sends and receives electrical, acoustic or electromagnetic signals, including infrared and optical signals, that carry information streams, such as digital data. For example, in wireless handheld devices, such as mobile telephones like cell phones, the communications interface  1070  includes a radio band electromagnetic transmitter and receiver called a radio transceiver. In certain embodiments, the communications interface  1070  enables connection to the telephony network  107  for a segment-based viewing of a watermarked recording to the user equipment  103 . 
     The term “computer-readable medium” as used herein refers to any medium that participates in providing information to processor  1002 , including instructions for execution. Such a medium may take many forms, including, but not limited to computer-readable storage medium (e.g., non-volatile media, volatile media), and transmission media. Non-transitory media, such as non-volatile media, include, for example, optical or magnetic disks, such as storage device  1008 . Volatile media include, for example, dynamic memory  1004 . Transmission media include, for example, twisted pair cables, coaxial cables, copper wire, fiber optic cables, and carrier waves that travel through space without wires or cables, such as acoustic waves and electromagnetic waves, including radio, optical and infrared waves. Signals include man-made transient variations in amplitude, frequency, phase, polarization or other physical properties transmitted through the transmission media. Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, CDRW, DVD, any other optical medium, punch cards, paper tape, optical mark sheets, any other physical medium with patterns of holes or other optically recognizable indicia, a RAM, a PROM, an EPROM, a FLASH-EPROM, an EEPROM, a flash memory, any other memory chip or cartridge, a carrier wave, or any other medium from which a computer can read. The term computer-readable storage medium is used herein to refer to any computer-readable medium except transmission media. 
     Logic encoded in one or more tangible media includes one or both of processor instructions on a computer-readable storage media and special purpose hardware, such as ASIC  1020 . 
     Network link  1078  typically provides information communication using transmission media through one or more networks to other devices that use or process the information. For example, network link  1078  may provide a connection through local network  1080  to a host computer  1082  or to equipment  1084  operated by an Internet Service Provider (ISP). ISP equipment  1084  in turn provides data communication services through the public, world-wide packet-switching communication network of networks now commonly referred to as the Internet  1090 . 
     A computer called a server host  1092  connected to the Internet hosts a process that provides a service in response to information received over the Internet. For example, server host  1092  hosts a process that provides information representing video data for presentation at display  1014 . It is contemplated that the components of system  1000  can be deployed in various configurations within other computer systems, e.g., host  1082  and server  1092 . 
     At least some embodiments of the invention are related to the use of computer system  1000  for implementing some or all of the techniques described herein. According to one embodiment of the invention, those techniques are performed by computer system  1000  in response to processor  1002  executing one or more sequences of one or more processor instructions contained in memory  1004 . Such instructions, also called computer instructions, software and program code, may be read into memory  1004  from another computer-readable medium such as storage device  1008  or network link  1078 . Execution of the sequences of instructions contained in memory  1004  causes processor  1002  to perform one or more of the method steps described herein. In alternative embodiments, hardware, such as ASIC  1020 , may be used in place of or in combination with software to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware and software, unless otherwise explicitly stated herein. 
     The signals transmitted over network link  1078  and other networks through communications interface  1070 , carry information to and from computer system  1000 . Computer system  1000  can send and receive information, including program code, through the networks  1080 ,  1090  among others, through network link  1078  and communications interface  1070 . In an example using the Internet  1090 , a server host  1092  transmits program code for a particular application, requested by a message sent from computer  1000 , through Internet  1090 , ISP equipment  1084 , local network  1080  and communications interface  1070 . The received code may be executed by processor  1002  as it is received, or may be stored in memory  1004  or in storage device  1008  or any other non-volatile storage for later execution, or both. In this manner, computer system  1000  may obtain application program code in the form of signals on a carrier wave. 
     Various forms of computer readable media may be involved in carrying one or more sequence of instructions or data or both to processor  1002  for execution. For example, instructions and data may initially be carried on a magnetic disk of a remote computer such as host  1082 . The remote computer loads the instructions and data into its dynamic memory and sends the instructions and data over a telephone line using a modem. A modem local to the computer system  1000  receives the instructions and data on a telephone line and uses an infra-red transmitter to convert the instructions and data to a signal on an infra-red carrier wave serving as the network link  1078 . An infrared detector serving as communications interface  1070  receives the instructions and data carried in the infrared signal and places information representing the instructions and data onto bus  1010 . Bus  1010  carries the information to memory  1004  from which processor  1002  retrieves and executes the instructions using some of the data sent with the instructions. The instructions and data received in memory  1004  may optionally be stored on storage device  1008 , either before or after execution by the processor  1002 . 
       FIG. 11  illustrates a chip set or chip  1100  upon which an embodiment of the invention may be implemented. Chip set  1100  is programmed to dynamically adjust camera parameters to alter film shots as described herein and includes, for instance, the processor and memory components described with respect to  FIG. 11  incorporated in one or more physical packages (e.g., chips). By way of example, a physical package includes an arrangement of one or more materials, components, and/or wires on a structural assembly (e.g., a baseboard) to provide one or more characteristics such as physical strength, conservation of size, and/or limitation of electrical interaction. It is contemplated that in certain embodiments the chip set  1100  can be implemented in a single chip. It is further contemplated that in certain embodiments the chip set or chip  1100  can be implemented as a single “system on a chip.” It is further contemplated that in certain embodiments a separate ASIC would not be used, for example, and that all relevant functions as disclosed herein would be performed by a processor or processors. Chip set or chip  1100 , or a portion thereof, constitutes a means for performing one or more steps of providing user interface navigation information associated with the availability of functions. Chip set or chip  1100 , or a portion thereof, constitutes a means for performing one or more steps of segment-based viewing of a watermarked recording. 
     In one embodiment, the chip set or chip  1100  includes a communication mechanism such as a bus  1101  for passing information among the components of the chip set  1100 . A processor  1103  has connectivity to the bus  1101  to execute instructions and process information stored in, for example, a memory  1105 . The processor  1103  may include one or more processing cores with each core configured to perform independently. A multi-core processor enables multiprocessing within a single physical package. Examples of a multi-core processor include two, four, eight, or greater numbers of processing cores. Alternatively or in addition, the processor  1103  may include one or more microprocessors configured in tandem via the bus  1101  to enable independent execution of instructions, pipelining, and multithreading. The processor  1103  may also be accompanied with one or more specialized components to perform certain processing functions and tasks such as one or more digital signal processors (DSP)  1107 , or one or more application-specific integrated circuits (ASIC)  1109 . A DSP  1107  typically is configured to process real-world signals (e.g., sound) in real time independently of the processor  1103 . Similarly, an ASIC  1109  can be configured to performed specialized functions not easily performed by a more general purpose processor. Other specialized components to aid in performing the inventive functions described herein may include one or more field programmable gate arrays (FPGA), one or more controllers, or one or more other special-purpose computer chips. 
     In one embodiment, the chip set or chip  1100  includes merely one or more processors and some software and/or firmware supporting and/or relating to and/or for the one or more processors. 
     The processor  1103  and accompanying components have connectivity to the memory  1105  via the bus  1101 . The memory  1105  includes both dynamic memory (e.g., RAM, magnetic disk, writable optical disk, etc.) and static memory (e.g., ROM, CD-ROM, etc.) for storing executable instructions that when executed perform the inventive steps described herein to a segment-based viewing of a watermarked recording. The memory  1105  also stores the data associated with or generated by the execution of the inventive steps. 
       FIG. 12  is a diagram of exemplary components of a mobile device (e.g., handset) for communications, which is capable of operating in the system of  FIG. 1 , according to one embodiment. In some embodiments, mobile device  1201 , or a portion thereof, constitutes a means for dynamic adjustment of camera parameters. Generally, a radio receiver is often defined in terms of front-end and back-end characteristics. The front-end of the receiver encompasses all of the Radio Frequency (RF) circuitry whereas the back-end encompasses all of the base-band processing circuitry. As used in this application, the term “circuitry” refers to both: (1) hardware-only implementations (such as implementations in only analog and/or digital circuitry), and (2) to combinations of circuitry and software (and/or firmware) (such as, if applicable to the particular context, to a combination of processor(s), including digital signal processor(s), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions). This definition of “circuitry” applies to all uses of this term in this application, including in any claims. As a further example, as used in this application and if applicable to the particular context, the term “circuitry” would also cover an implementation of merely a processor (or multiple processors) and its (or their) accompanying software/or firmware. The term “circuitry” would also cover if applicable to the particular context, for example, a baseband integrated circuit or applications processor integrated circuit in a mobile phone or a similar integrated circuit in a cellular network device or other network devices. 
     Pertinent internal components of the telephone include a Main Control Unit (MCU)  1203 , a Digital Signal Processor (DSP)  1205 , and a receiver/transmitter unit including a microphone gain control unit and a speaker gain control unit. A main display unit  1207  provides a display to the user in support of various applications and mobile device functions that perform or support the steps of segment-based viewing of a watermarked recording. The display  1207  includes display circuitry configured to display at least a portion of a user interface of the mobile device (e.g., mobile telephone). Additionally, the display  1207  and display circuitry are configured to facilitate user control of at least some functions of the mobile device. An audio function circuitry  1209  includes a microphone  1211  and microphone amplifier that amplifies the speech signal output from the microphone  1211 . The amplified speech signal output from the microphone  1211  is fed to a coder/decoder (CODEC)  1213 . 
     A radio section  1215  amplifies power and converts frequency in order to communicate with a base station, which is included in a mobile communication system, via antenna  1217 . The power amplifier (PA)  1219  and the transmitter/modulation circuitry are operationally responsive to the MCU  1203 , with an output from the PA  1219  coupled to the duplexer  1221  or circulator or antenna switch, as known in the art. The PA  1219  also couples to a battery interface and power control unit  1220 . 
     In use, a user of mobile device  1201  speaks into the microphone  1211  and his or her voice along with any detected background noise is converted into an analog voltage. The analog voltage is then converted into a digital signal through the Analog to Digital Converter (ADC)  1223 . The control unit  1203  routes the digital signal into the DSP  1205  for processing therein, such as speech encoding, channel encoding, encrypting, and interleaving. In one embodiment, the processed voice signals are encoded, by units not separately shown, using a cellular transmission protocol such as enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), satellite, and the like, or any combination thereof. 
     The encoded signals are then routed to an equalizer  1225  for compensation of any frequency-dependent impairments that occur during transmission though the air such as phase and amplitude distortion. After equalizing the bit stream, the modulator  1227  combines the signal with a RF signal generated in the RF interface  1229 . The modulator  1227  generates a sine wave by way of frequency or phase modulation. In order to prepare the signal for transmission, an up-converter  1231  combines the sine wave output from the modulator  1227  with another sine wave generated by a synthesizer  1233  to achieve the desired frequency of transmission. The signal is then sent through a PA  1219  to increase the signal to an appropriate power level. In practical systems, the PA  1219  acts as a variable gain amplifier whose gain is controlled by the DSP  1205  from information received from a network base station. The signal is then filtered within the duplexer  1221  and optionally sent to an antenna coupler  1235  to match impedances to provide maximum power transfer. Finally, the signal is transmitted via antenna  1217  to a local base station. An automatic gain control (AGC) can be supplied to control the gain of the final stages of the receiver. The signals may be forwarded from there to a remote telephone which may be another cellular telephone, any other mobile phone or a land-line connected to a Public Switched Telephone Network (PSTN), or other telephony networks. 
     Voice signals transmitted to the mobile device  1201  are received via antenna  1217  and immediately amplified by a low noise amplifier (LNA)  1237 . A down-converter  1239  lowers the carrier frequency while the demodulator  1241  strips away the RF leaving only a digital bit stream. The signal then goes through the equalizer  1225  and is processed by the DSP  1205 . A Digital to Analog Converter (DAC)  1243  converts the signal and the resulting output is transmitted to the user through the speaker  1245 , all under control of a Main Control Unit (MCU)  1203  which can be implemented as a Central Processing Unit (CPU). 
     The MCU  1203  receives various signals including input signals from the keyboard  1247 . The keyboard  1247  and/or the MCU  1203  in combination with other user input components (e.g., the microphone  1211 ) comprise a user interface circuitry for managing user input. The MCU  1203  runs a user interface software to facilitate user control of at least some functions of the mobile device  1201  to a segment-based viewing of a watermarked recording. The MCU  1203  also delivers a display command and a switch command to the display  1207  and to the speech output switching controller, respectively. Further, the MCU  1203  exchanges information with the DSP  1205  and can access an optionally incorporated SIM card  1249  and a memory  1251 . In addition, the MCU  1203  executes various control functions required of the terminal. The DSP  1205  may, depending upon the implementation, perform any of a variety of conventional digital processing functions on the voice signals. Additionally, DSP  1205  determines the background noise level of the local environment from the signals detected by microphone  1211  and sets the gain of microphone  1211  to a level selected to compensate for the natural tendency of the user of the mobile device  1201 . 
     The CODEC  1213  includes the ADC  1223  and DAC  1243 . The memory  1251  stores various data including call incoming tone data and is capable of storing other data including music data received via, e.g., the global Internet. The software module could reside in RAM memory, flash memory, registers, or any other form of writable storage medium known in the art. The memory device  1251  may be, but not limited to, a single memory, CD, DVD, ROM, RAM, EEPROM, optical storage, magnetic disk storage, flash memory storage, or any other non-volatile storage medium capable of storing digital data. 
     An optionally incorporated SIM card  1249  carries, for instance, important information, such as the cellular phone number, the carrier supplying service, subscription details, and security information. The SIM card  1249  serves primarily to identify the mobile device  1201  on a radio network. The card  1249  also contains a memory for storing a personal telephone number registry, text messages, and user specific mobile device settings. 
     Further, one or more camera sensors  1253  may be incorporated onto the mobile device  1201  wherein the one or more camera sensors may be placed at one or more locations on the mobile device. Generally, the camera sensors may be utilized to capture, record, and cause to store one or more still and/or moving images (e.g., videos, movies, etc.) which also may comprise audio recordings. 
     While the invention has been described in connection with a number of embodiments and implementations, the invention is not so limited but covers various obvious modifications and equivalent arrangements, which fall within the purview of the appended claims. Although features of the invention are expressed in certain combinations among the claims, it is contemplated that these features can be arranged in any combination and order. 
     Accordingly, an approach is disclosed for providing segment-based viewing of a watermarked recording. 
     While certain exemplary embodiments and implementations have been described herein, other embodiments and modifications will be apparent from this description. Accordingly, the invention is not limited to such embodiments, but rather to the broader scope of the presented claims and various obvious modifications and equivalent arrangements.