Abstract:
A method for analyzing data sequences, such as video and audio segments, and extracting metadata from the data sequences for providing information related to events of the data sequences. The metadata extracted is used for making editing decisions, such as for an audio-visual production comprised of a collection of video and audio segments. The metadata identifies events of importance in the video and audio segments, which may then be applied to the editing process. A user interface including the extracted metadata in a timeline format facilitates editing the audio-visual production.

Description:
BACKGROUND 
       [0001]    Many people are accustomed to consuming sophisticated, well edited media, as seen on television, in movies, and in other professionally produced media. Because of these heightened expectations, non-expert video editors are likely to fail at producing video productions that fulfill their personal expectations, or the expectations of their highly-conditioned audience. Non-expert users of non-linear video editing (e.g., digital video editing) systems typically cannot create attractive looking and sounding videos. Unlike professional video editors who have knowledge and experience in making effective editing decisions, non-expert users have little to no experience, and would therefore benefit greatly from a coach. Such non-expert video editors may need editing assistance to create higher-quality products. For example, if a non-expert user had one-on-one professional advice on how to make a high impact, upbeat video, he would likely receive particular editing suggestions (e.g., use jump-cuts in places where music beats and loud audio peaks, like explosions, are located). With this advice, such a non-expert user could cut to dramatic video image changes at particular points corresponding to the audio. Unfortunately, many users are unable to hire an expert video editing coach, and are therefore unable to apply this advice or any other techniques applied by expert editors. 
         [0002]    Conventional media editing tools (e.g., video editing software) provide users with the ability to capture, edit, import, and modify both visual and audio media for the development of audio/visual works. For example, a user can create an audio/visual work with a media editing tool (e.g., Microsoft® Windows Movie Maker Version 2.1) and the media editing tool can provide the user with several functions, including trimming, splicing, and cropping video, merging image, audio, and video media, adding transitions and effects between constituent parts, and overlaying additional audio, to name a few. In the hands of a skilled user, such a conventional system can provide a means for merging several different types of media together into a unified work, different than all of its constituent portions. Unfortunately, such conventional media editing tools do not provide the type of advanced guidance required to substantially improve editing for the novice user. Without assistance from a human expert, most users are relegated to creating basic video productions without the tools and expertise available to a professional editor. A way to provide some of these tools and expertise to novice users based upon their specific media content would be useful. Moreover, a way to automatically edit and produce an audio/visual work or semi-automatically produce one by allowing modification of the results yielded by the automatic process and then producing (rendering) the audio/visual work would also be useful, such as to a novice user. 
         [0003]    Moreover, even for the expert editor who understands how to effectively manually edit media, additional tools identifying critical events in the media being edited can facilitate more efficient editing. In other words, automatically identifying potential edit events to the skilled editor can facilitate more efficient and effective editing because effort can be applied to the creative aspects of the editing process, rather than to the identification of potential editing events. Thus, a way to provide tools to an experienced editor in identifying potential editing events would be useful. 
       SUMMARY 
       [0004]    The following simplified summary provides a basic overview of some aspects of the present technology. This summary is not an extensive overview. It is not intended to identify key or critical elements or to delineate the scope of this technology. This Summary is not intended to be used as an aid in determining the scope of the claimed subject matter. Its purpose is to present some simplified concepts related to the technology before the more detailed description presented below. 
         [0005]    Accordingly, aspects of the invention provide for analyzing data sequences and extracting metadata from the data sequences to provide information related to events of the data sequences. These events provide specific editing guidance to a user. By analyzing multiple data sequences according to characteristics to extract metadata from each sequence, aspects of the invention permit the dissemination of information regarding key events and features of the data sequences for use by a user in editing the sequences. Moreover, determining which of such metadata occur at substantially the same time and associating the metadata with a timeline provide information to users related to the coordination of editing events from different data sequences, thereby facilitating editing by a user. 
     
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0006]      FIG. 1  is a diagram of an aggregate timeline and its constituent parts of one embodiment of the invention; 
           [0007]      FIG. 2  is a flow diagram of a method of one embodiment of the invention; 
           [0008]      FIG. 3  is an extension of the flow diagram of  FIG. 2 ; 
           [0009]      FIG. 4  is another flow diagram of a method of another embodiment of the invention; 
           [0010]      FIG. 5  is an exemplary system memory of another embodiment of the invention; 
           [0011]      FIG. 6  is an exemplary data record of another embodiment of the invention; and 
           [0012]      FIG. 7  is a block diagram illustrating one example of a suitable computing system environment in which one embodiment of the invention may be implemented. 
       
    
    
       [0013]    Corresponding reference characters indicate corresponding parts throughout the drawings. 
       DETAILED DESCRIPTION 
     Aggregate Timeline Overview 
       [0014]    Referring now to  FIG. 1 , a diagram of an aggregate timeline, generally indicated  21 , and its constituent parts of one embodiment of the invention is shown. The constituent parts of the aggregate timeline  21  include several objects commonly associated with media editing. Those objects may include but are not limited to textual messages TE 1 , TE 2  (e.g., titles, credits, presentation information, etc.), video segments VS 1 , VS 2 , VS 3 , VS 4  (e.g., video clips, animations, etc.), digital images I 1 , I 2  (e.g., digital photographs, documents, screenshots, and computer-generated images, etc.), and transitions, or effects, between other objects T 1 , T 2 , T 3 , T 4 , and T 5 . The aggregate timeline  21  further includes blank space BS as an object for holding timeline space open, without any objects. Advantageously, media editing software embodying aspects of the invention analyze multiple data sequences according to characteristics to extract metadata from each sequence. This metadata might include a transition to a new video scene, a new face entering a video scene, or a music beat in an audio sequence, among others, as described below. This permits the dissemination of metadata information regarding events and features of the data sequences for use in editing the sequences. Providing such metadata to a user will assist in the editing process, as the use of such metadata can offer convenient and effective editing choices (e.g., for a novice use). Moreover, determining which of such metadata occur at substantially the same time and associating the metadata with a timeline provide information related to the coordination of editing events from different data sequences, which is also helpful when editing. 
         [0015]    The diagram also illustrates a non-aggregated timeline, generally indicated  23 , which depicts each of the objects separately. Such a timeline is particularly useful for understanding the details of how a media production involving multiple media objects and transitions may be constructed. For example, the first textual message TE 1  extends from the beginning, or left edge, of the timeline until the end, or right edge, of the first transition T 1 . Similarly, the first video segment VS 1  extends from the beginning, or left edge, of the first transition T 1  until the end, or right edge of the second transition T 2 . As would be readily understood by one skilled in the art, during the first transition, the viewer of the media would begin by seeing primarily the first textual message. As time passed during the first transition T 1 , more of the first video segment VS 1  would be visible while less of the first textual message TE 1  would be visible. The remaining timeline objects function similarly. As would be readily understood by one skilled in the art, any number of different types of objects can be included in any arrangement without departing from the scope of the embodiments of the present invention. Moreover, in the non-aggregated timeline  23  of  FIG. 1 , each of the video segments VS 1 , VS 2 , VS 3 , VS 4  and digital images I 1 , I 2  is depicted as staggered from adjacent video segments and digital images to facilitate viewing of the entire scope of the video segment or image, without overlap. 
         [0016]    In addition to the visual aspects of the aggregated timeline  21  and the non-aggregated timeline  23 , additional information is included in the form of aural tracks  25 , three of which are depicted in  FIG. 1  for purposes of illustration. Audio track  25 A depicted in the diagram is the aggregation of the audio associated with each of the video segments VS 1 , VS 2 , VS 3 , VS 4  and digital images I 1 , I 2 , described above. In this exemplary diagram, the audio track  25 A depicts the intensity of the aggregated audio over time, such that the intensity of the audio—and indirectly the activities of the video segments VS 1 , VS 2 , VS 3 , VS 4  and the digital images I 1 , I 2 —can be understood as a function of time. Audio track  25 B (e.g., a musical overlay) included in the diagram depicts the intensity of music currently present in the timeline  23 . As with the audio track  25 A, the music track  25 B depicts the intensity of the music track or tracks over time, thereby providing an indication of the nature of the music. Overlay track  25 C depicted in the diagram depicts items that may be composited, or added, onto the audio/visual work over time. The duration, blending, and intensity of each is specified over time. Examples of these items are text that may be used for titles and captions, other images, animations, or video. Other audio characteristics, other than audio intensity, can also be depicted on the aural tracks  25 , without departing from the scope of the embodiments of the present invention. In addition, other aural tracks  25  can be included without departing from the scope of the embodiments of the present invention. 
         [0017]    In the example shown in  FIG. 1 , both video segments VS and still digital images I are included. It should be understood that the timeline may contain any number and typed of items. For example, the timeline may include at least one of video, video with associated audio, images, audio, music, text, overlay text, images, animations, and other text, without departing from the scope of the present invention. In another example, the timeline can contain only video segments VS, or only digital images I, without departing from the scope of the embodiments of the present invention. Moreover, as used herein the term digital images can include digital photographs, but can also include other digital items, including documents, scanned images, and computer-generated images, to name a few. 
       Creating Aggregate Timeline and Events 
       [0018]    Referring now to  FIGS. 2 and 3 , a system flow diagram, generally indicated  29 , depicts one embodied method of the present invention. The system flow begins with raw components, generally indicated  31 , as described generally above. In this embodiment, the raw components include a video segment VS, an audio track  25 A associated with the video segment, and a music track  25 B. As would be readily understood by one skilled in the art, each of these raw components  31  can be referred to more generally as data sequences, such as a visual data sequence VS, an audio data sequence  25 A, and a second, or overlay, audio data sequence  25 B. 
         [0019]    These raw components  31  are each sent to an analysis module, generally indicated  33 , which analyzes the underlying data sequences of the raw components. In particular, the video segment VS is sent to a video and image analysis submodule  33 A, the audio track  25 A is sent to an audio analysis submodule  33 B, and the music track  25 B is sent to a second audio analysis submodule  33 C. As will be discussed in greater detail below, the analysis module  33  analyzes the underlying data sequences VS,  25 A,  25 B and extracts metadata related to the data sequences. This metadata can be useful to an editor, for example a novice editor, in selecting appropriate locations for particular editing decisions, as discussed below. In one embodiment, the audio analysis submodule  33 B is a speech analysis submodule. In another embodiment, the second audio analysis submodule  33 C is a music analysis submodule, and more particularly a music beat and audio peak analysis submodule. It should also be noted that other submodules may be added to perform additional analyses without departing from the scope of the present invention. 
         [0020]    After analysis by each submodule  33 A,  33 B,  33 C, the extracted metadata from each component  31  is collected in a storage area, generally indicated  35 . In particular, a video and image analysis storage area  35 A receives the extracted metadata from the video and image analysis submodule  33 A, an audio analysis storage area  35 B receives the extracted metadata from the audio analysis submodule  33 B, and a second audio analysis storage area  35 C receives the extracted metadata from the second audio analysis submodule  33 C. Although the storage areas  35 A,  35 B, and  35 C are depicted as separate in  FIG. 2 , it should be understood by one skilled in the art that two or more of those storage areas can be combined without departing from the scope of the embodiments of the present invention. 
         [0021]    After collecting and storing the extracted metadata in the storage areas  35 A,  35 B, and  35 C, an analysis engine  37  receives the stored metadata and analyzes the metadata. As discussed below in greater detail, the analysis engine  37  analyzes the content of the data sequences VS,  25 A,  25 B and makes meaningful editing suggestions, in the form of events, based upon the actual content of the data sequence (e.g., scene changes, music beats, audio peaks, spaces between spoken words, etc.). In one alternative embodiment, the analysis engine  37  determines the intersection of metadata events occurring at substantially the same time within different raw components  31  and associates such metadata with a common timeline associated with the raw components. The results of this analysis are stored in storage area  39 . 
         [0022]    The analysis engine  37  is also responsible for displaying the metadata and the results of its analysis, such as in depicted in the user interface, generally indicated  41 , of  FIG. 3 . The editing suggestions noted above are displayed in the timeline of the user interface  41  as “snap-to-points” (also known as “sticky points”) corresponding to the events. Moreover, the analysis engine  37  is adapted to receive control parameters from the user via the user interface  41  of  FIG. 3 . Such control parameters can also be stored in the storage area  39 . 
         [0023]      FIG. 3  is an extension of the flow diagram of  FIG. 2 . In particular, the exemplary user interface  41  is in the form of a timeline, including each of the data sequences VS,  25 A,  25 B depicted on the same timeline. This allows the user to readily determine what portion of each data sequence VS,  25 A,  25 B is utilized at any given time. The details of the user interface  41  will be discussed in greater detail below. 
       Methods 
       [0024]    A method for analyzing data sequences (such as data sequences VS,  25 A,  25 B introduced above) and extracting metadata associated with the data sequences for providing information related to events of the data sequences is generally indicated  45  in  FIG. 4 . The method comprises analyzing, at  47 , a visual data sequence VS according to at least one characteristic of the visual data sequence and extracting, also at  47 , metadata associated with the visual data sequence according to the at least one characteristic of the visual data sequence. 
         [0025]    In one embodiment, the visual data sequence VS is analyzed, at  47 , according to at least one visual characteristic. Moreover, the metadata associated with the visual data sequence VS is extracted according to the visual characteristic of the visual data sequence. In one alternative embodiment, visual characteristics of the video data sequence can comprise video dynamic peaks, dynamic image changes, color entropy characteristics, chroma values and patterns, luma values and patterns, and image pattern recognition, among others. In another alternative embodiment, video dynamic peaks can comprise detectable changes in the visual data sequence VS, such as scene changes (e.g., different scenes stored adjacent one another in the visual data sequence) and stark image transitions (e.g., large changes in brightness, large changes in color). Also, for example, dynamic image changes can comprise detectable changes in the visual data sequence VS (e.g., quick zooming, quick panning, removal of the lens cap, among others). Recognition of chroma values and patterns can detect the type of video, such as sports (e.g., baseball) or other known video pattern characteristics. In particular, the following patent application describes how to perform detection of the video type: U.S. patent application entitled Video Search and Services, filed Feb. 27, 2006, assigned to Microsoft Corporation of Redmond, Wash., U.S.A. In addition, the image pattern recognition visual characteristic can comprise recognition of particular images, such as people generally, a particular person, a particular face (i.e., face patterns), animals generally, a particular animal (e.g., a dog), and other items (e.g., a boat, a car, etc.) among others. In one embodiment, aspects of the invention may allow the user to select one or more images for pattern recognition analysis, such as from a drop-down menu. In other words, visual data sequence VS is analyzed, at  47 , based upon its content to determine if metadata related to the content can be extracted, also at  47 , such as where detectable changes in the data sequence occur. In particular, the following patent application describes how to perform face detection: U.S. patent application entitled Pose-Adaptive Face Detection System and Process, filed May 26, 2000, issued as U.S. Pat. No. 6,671,391, and assigned to Microsoft Corporation of Redmond, Wash., U.S.A. The following patent application describes how to perform face recognition: U.S. patent application entitled Pose-Invariant Face Recognition System and Process, filed Nov. 5, 2004, published as U.S. publication number US 2005-0147292 A1, and assigned to Microsoft Corporation of Redmond, Wash., U.S.A. 
         [0026]    The method  45  further comprises analyzing, at  49 , an audio data sequence  25 A, substantially corresponding to the visual data sequence VS, according to at least one characteristic of the audio data sequence and extracting, also at  49 , metadata associated with the audio data sequence according to at least one characteristic of the audio sequence data. Here, the audio data sequence  25 A substantially corresponding to the visual data sequence VS may simply mean that the data sequences are related to one another. In one alternative embodiment, the typical audio recorded along with a video recording would be such an audio data sequence  25 A substantially corresponding to the visual data sequence VS, or video recording. 
         [0027]    In one embodiment, the audio data sequence  25 A is analyzed, at  49 , according to at least one audio characteristic. Moreover, the metadata associated with the audio data sequence  25 A is extracted, at  49 , according to the at least one audio characteristic of the audio data sequence. In one alternative embodiment, audio characteristics of the audio data sequence  25 A can comprise music beats, audio dynamic peaks, speech characteristics, changes in the person speaking, recorded sounds, word boundary detection, and word and phrase detection (e.g., identify all occurrences of the phrase “Happy Birthday”), among others. In other words, the audio data sequence  25 A can be analyzed according to any characteristic that can yield metadata regarding events of interest in the audio data sequence. In another alternative embodiment, the audio data sequence  25 A can be analyzed to create a metadata event at significant music beats, or at all music beats. Identification of such events related to music beats can be useful to an editor, as the introduction of a new scene or new camera angle is often timed to coincide with the beat of background music. In another example, audio dynamic peaks, such as loud noises or other sharp increases and subsequent decreases in audio intensity, or volume, that are part of the audio data sequence can be identified as potential editing events. One skilled in the art would readily understand the other audio characteristics identified above. For example, the following patent application describes how to segment and classify an audio data sequence: U.S. patent application entitled Audio Segmentation and Classification, filed Apr. 19, 2000, issued as U.S. Pat. No. 6,901,362, and assigned to Microsoft Corporation of Redmond, Wash., U.S.A. For example, the following patent application describes how to determine if speaker identity has changed: U.S. patent application entitled Method of Real-time Speaker Change Point Detection, Speaker Tracking and Speaker Model Construction, filed Nov. 29, 2002, published as U.S. patent application number US 2004/0107100 A1, and assigned to Microsoft Corporation of Redmond, Wash., U.S.A. 
         [0028]    The method  45  also comprises analyzing, at  51 , a second audio data sequence  25 B according to at least one characteristic of the second audio data sequence and extracting, also at  51 , metadata associated with the second audio data sequence according to at least one characteristic of the second audio data sequence. Unlike the audio data sequence  25 A discussed above, the second audio data sequence  25 B does not necessarily substantially correspond to the visual data sequence VS. In one exemplary embodiment, where two microphones record two, separate audio tracks corresponding to the same video data sequence VS, both audio data sequences  25 A,  25 B will correspond to the video data sequence. In another alternative embodiment, the extracting, at  51 , extracts metadata associated with a second audio data sequence  25 B not in substantial correspondence with the visual data sequence VS. For example, the extracting metadata, at  51 , associated with the second audio data sequence  25 B can comprise extracting metadata associated with an audio overlay, such as a musical piece (e.g., a song) or vocal narration. 
         [0029]    In one embodiment, the second audio data sequence  25 B is analyzed, at  51 , according to at least one audio characteristic of the second audio data sequence. Moreover, the metadata associated with the second audio data sequence  25 B is extracted, at  51 , according to the at least one audio characteristic of the second audio data sequence. For example, audio characteristics of the second audio data sequence  25 B can comprise music beats, audio dynamic peaks, speech characteristics, particular recorded sounds, word boundary detection, and word and phrase detection, among others, generally as discussed above with respect to the audio data sequence  25 A. 
         [0030]    The method  45  further determines, at  53 , intersections of metadata from two or more of the extracted metadata occurring at substantially the same time. Determining intersections of metadata means reviewing the metadata extracted from each of the data sequences VS,  25 A,  25 B and determining if any of the metadata from one data sequence occurs at substantially the same time as metadata from another of the data sequences. Where metadata occur at substantially the same time, an intersection is determined. These intersections represent valuable events to the novice or experienced editor, as significant events have occurred at the same time on two or more data sequences. Noting these intersections of events for the user, as will be discussed in greater detail below, provides tangible, specific guidance to the user regarding effective editing strategies. For example, where a dynamic image change occurs in the visual data sequence VS at substantially the same time as an audio dynamic peak in the audio data sequence  25 A, an intersection can be determined. In many cases, this metadata intersection event may be more useful that a solitary metadata event because the intersection event brings together features of interest from two or more data sequences, or parts of the final production. With the intersections determined, the method further aggregates, at  55 , metadata and metadata intersections. 
         [0031]    Once the intersections are determined, at  53 , and the extracted metadata and metadata intersections are aggregated, at  55 , with the timeline, the method  45  further comprises associating, at  57 , metadata and metadata intersections with a timeline associated with the data sequences. This association, at  57 , places each piece of extracted metadata and determined metadata intersection into a common timeline. This association with a common timeline provides for ready review of all the metadata and metadata intersections by the user of one or more of the metadata events, whereby further editing decisions are based upon the proximity, frequency, and density of the metadata associated with the timeline. 
         [0032]    The method further comprises rendering, at  59 , a user interface depicting the timeline with the data sequences VS,  25 A,  25 B, the metadata, and the intersections of metadata. The rendered user interface  41  (see  FIG. 3 ) is a useful tool for editing, as it incorporates all of the extracted metadata and metadata intersections into a single interface for review by the user. The details of the user interface  41  will be discussed in greater detail below. In one example, the method may further comprise automatically rendering, at  60 , a resultant audio/visual work. For example, without user direction, the method may utilize the previous analyzing and extracting  47 ,  49 ,  51 , determining  53 , aggregating  55 , and associating  57  processes to render  60  a resultant audio-visual work automatically. Such an automatic rendering may be particularly useful for a user seeking a completed audio/visual work with relatively little effort and in as short a time period as possible. The method may further comprise allowing, at  62 , the user to modify the resultant audio/visual work. 
         [0033]    The method may further comprise receiving, at  61 , user input regarding changes in one or more of the data sequences VS,  25 A,  25 B via the user interface  41 . The user can elect to change any number of parameters, including moving, modifying, and deleting one or more of the data sequences VS,  25 A,  25 B. Moreover, the user can elect to add one or more additional data sequences. As would be understood by one skilled in the art, changes of this type will often change the location of metadata events and metadata intersections, requiring a new set of analysis, extractions, and determinations, generally as set forth above. For example, the user can decide to crop a particular portion of the visual data sequence VS and the associated portion of the audio data sequence  25 A, thereby causing substantial changes in the location of metadata events. It should be readily appreciated here that even relatively minor changes to the data sequences VS,  25 A,  25 B can create significant changes to the extracted metadata and metadata intersections. Thus, after the user invokes such a change, the method repeats the analyzing and extracting  47 ,  49 ,  51  metadata associated with each of the data sequences, the determining  53 , the aggregating  55 , the associating  57 , and the rendering  59  to ensure that the user interface  41  rendered is reflective of the location of metadata and metadata intersections created during the latest changes. 
       User Interface 
       [0034]    As introduced above, a user interface  41  for integrating visual and audio data sequences VS,  25 A,  25 B together for creating an audio-visual work is depicted in  FIG. 3 . The user interface  41  includes a timeline, generally indicated  61 , extending left to right and demarking the time for each of the data sequences on the timeline  61 . As would be readily understood by one skilled in the art, the scale of the timeline  61  can be adjusted to suit the user, such as to focus in on a particular portion of interest, or to review a greater portion of the timeline  61  for a more general view. In the example depicted in  FIG. 3 , the timeline  61  extends from about 0 seconds to about 32 seconds. Any scale can be used without departing from the scope of the embodiments of the present invention. 
         [0035]    The user interface  41  further comprises a visual timeline VT associated with the visual data sequence VS comprising one or more visual elements. The visual timeline VT depicts the beginning and the end of each of the one or more visual elements. In the example of  FIG. 3 , a first video segment VS 1  extends from about zero seconds to about 22.5 seconds, while a second video segment VS 2  extends from about 20.8 seconds and at least until the end of the visible visual timeline VT at about 32 seconds. Between about 20.8 seconds and about 22.5 seconds is a first transition T 1  between the first video segment VS 1  and the second video segment VS 2 . 
         [0036]    Depiction of video segments VS 1 , VS 2  and transitions T 1  is well-known in the art. The visual timeline VT of the embodiments of the present invention, however, further include visual event markers, generally indicated  65 , indicating the corresponding time on the timeline  61  of a particular visual event in the visual data sequence VS. The visual event markers  65  provide visual indications regarding events within the visual data sequence VS that are helpful to users when editing. Moreover, the visual event markers  65  further comprise at least one of an icon  67  indicative of the nature of the corresponding event and a value indicator  69  indicative of the relative value of the corresponding event. 
         [0037]    The icons  67  corresponding to the visual event markers  65  can depict any class of events, or individual events. In one alternative embodiment, a new face icon, a face exit icon, and a new scene icon are included. Two of those, a new face icon  67 A and a new scene icon  67 B, are depicted in the example of  FIG. 3 . Thus, wherever a new face icon  67 A appears, the editor knows that a new person has entered the scene, and wherever a new scene icon  67 B appears, the editor knows that a new scene has begun. This is important information to the editor, which can now be used as a basis for other editing decisions. With conventional editing systems, the user would need to carefully review the visual data sequence VS manually to determine such editing events. The automatic extraction and rendering of these events on a user interface  41  provides this information to an editor directly. Visual demonstratives other than icons  67  are also contemplated as within the scope of the embodiments of the present invention (e.g., user-configurable thumbnails, including ones representative of the items detected, such as specific faces, boats, cars, etc.). Note that the exemplary user interface  41  of  FIG. 3  may also include a tile (video) overlay visual demonstrative (not shown). Such demonstratives would be depicted similar to the visual demonstratives of the first video segment VS 1 . 
         [0038]    The value indicators  69  depicted in the visual data sequence VS of  FIG. 3  are vertical lines. Each of the value indicators  69  depicted in the visual data sequence VS of  FIG. 3  are the same length, thickness, line-type, and color. By sharing the same length, thickness, line-type, and color, these value indicators  69  each correspond to a visual event marker  65  of similar value. The length, thickness, line-type, and color of the individual value indicators  69  can also be modified to indicate a value indicator of greater or lesser value, as compared with the other value indicators  69 . For example, the line associated with a particular value indicator  69  can be lengthened to indicate its greater relative value. Similarly, a red value indicator  69  can indicate a higher value than a brown value indicator. In another example, the icon  67  can also indicate the value of the visual event marker  65  (e.g., a larger icon indicates greater relative value). Any such changes to indicate a greater or lesser relative value of a particular visual event marker  65  are contemplated as within the scope of the embodiments of the present invention. 
         [0039]    The user interface  41  further comprises an audio timeline AT associated with an audio data sequence  25 A comprising one or more audio elements. The audio timeline AT corresponds to the same time scale and position in time as the visual timeline VT. The audio timeline AT depicts an audio characteristic of the audio data sequence  25 A, such as the output level of the audio data sequence over time. Like the visual timeline, the audio timeline AT depicts the beginning and the end of each of the one or more audio elements. In the example of  FIG. 3 , a first audio segment AS 1  extends from about zero seconds to about 22.5 seconds, while a second audio segment AS 2  extends from about 20.8 seconds and at least until the end of the visible audio timeline AT at about 32 seconds. As with the visual timeline VT, between about 20.8 seconds and about 22.5 seconds is the first transition T 1  between the first audio segment AS 1  and the second audio segment AS 2 . 
         [0040]    Depiction of audio segments AS 1 , AS 2  and transitions T 1  is well known in the art. In addition, however, the audio timeline AT further includes audio event markers, generally indicated  71 , indicating the corresponding time on the timeline  61  of a particular audio event in the audio data sequence  25 A. The audio event markers  71  provide visual indications regarding events within the audio data sequence  25 A that are helpful during editing. Moreover, the audio event markers  71  further comprise at least one of an icon  73  indicative of the nature of the corresponding event and a value indicator  75  indicative of the relative value of the corresponding event. The icons  73  and value indicators  75  function similarly to those described above with respect to the visual data sequence VS. For example, an end of phrase icon, a beginning of phrase icon, an audio peak icon, a silence icon, a music beat icon, and a dynamic audio change icon are common examples. One of those, an end of phrase icon  73 , is depicted in  FIG. 3 . Thus, wherever an end of phrase icon  67 A appears, the editor knows that a person has stopped speaking, which can correspond to a convenient edit point. 
         [0041]    The user interface  41  further comprises an overlay audio timeline OAT associated with an overlay audio data sequence  25 B comprising one or more overlay audio elements. The overlay audio timeline OAT corresponds to the same time scale and position in time as the visual timeline VT and the audio timeline AT. The overlay audio timeline OAT depicts at least one audio characteristic of the overlay audio data sequence over time, such as the output level of the overlay audio data sequence  25 B over time. In one alternative embodiment, the overlay audio data sequence  25 B is a musical work, such as a song, which can be used in conjunction with the video data sequence VS and the audio data sequence  25 A. In the example of  FIG. 3 , an audio segment AS extends from about zero seconds to about 32 seconds. Multiple audio segments AS can be utilized without departing from the scope of the embodiments of the present invention. 
         [0042]    The overlay audio timeline OAT further includes overlay audio event markers, generally indicated  81 , indicating the corresponding time on the timeline of a particular overlay audio event in the overlay audio data sequence  25 B. The overlay audio event markers  81  provide visual indications regarding events within the overlay audio data sequence  25 B, as did the event markers described above with respect to their data sequence. Moreover, the overlay audio event markers  81  further comprise at least one of an icon  83  indicative of the nature of the corresponding event and a value indicator  85  indicative of the relative value of the corresponding event. It should be noted here that each occurrence of an event marker  81 , an icon  83 , or a value indicator  85  is not marked with a reference numeral in  FIG. 3 . Several reference numerals were intentionally not included to decrease clutter in the view of the overlay audio timeline OAT. 
         [0043]    The icons  83  and value indicators  85  function similarly to those described above with respect to the visual data sequence VS. For example, an end of phrase icon, a beginning of phrase icon, an audio peak icon, a silence icon, a music beat icon, and a dynamic audio change icon are common examples. Two of those, a music beat icon  83 A and a dynamic audio change icon  83 B, are depicted in  FIG. 3 . Thus, wherever a music beat icon  83 A and/or a dynamic audio change icon  83 B appears, the editor knows that the audio has changed significantly, which can correspond to a convenient edit point. 
         [0044]    As discussed above, the user interface  41  includes value indicators  69 ,  75 ,  85  corresponding to each of the respective visual event markers  65 , audio event markers  71 , and overlay audio event markers  81 . In one alternative embodiment, these value indicators  69 ,  75 ,  85  indicate increased value when two or more of the event markers  65 ,  71 ,  81  correspond to a substantially similar time on their respective timelines VT, AT, OAT. In the example depicted in  FIG. 3 , the majority of the value indicators  85  are relatively short and correspond to a single event marker  81  (e.g., a music beat, see icon  83 A). Other value indicators  85 A include lines that are relatively long and correspond to two event markers  81  occurring at a substantially similar time. In the example of  FIG. 3 , where a music beat icon  83 A and a dynamic audio change icon  83 B occur at a substantially similar time, the relative large value indicator  85 A is utilized to increase the relative value of the event marker  81 . Such an increase in value is appropriate because of the intersection of two event markers  83 A,  83 B at substantially the same time. As would be understood by one skilled in the art, the substantially similar time exhibited by two events need not be the exact same time. For example, by default, events no more than about five seconds apart can still be considered to have occurred at a substantially similar time. This number is readily configurable by the user, thereby allowing the user to customize the sensitivity of finding intersections and thereby the number of such intersections. Moreover, as would be understood by one skilled in the art, although the depicted example included an intersection of events on the same overlay audio timeline OAT, events on separate timelines (e.g., the visual timeline VT and the audio timeline AT) can also be determined as an intersection and given a higher value, as indicated above. Moreover, three or more event markers  65 ,  71 ,  81  occurring at a substantially similar time can indicate a value indicator of even greater value. 
         [0045]    In another embodiment, at least one of the visual event markers  65 , audio event markers  71 , and overlay audio event markers  81  corresponds to a selection element  89  for selection by a user. The selection element  89  is adapted for selection of the event by a user and movement of the event to another time location on the respective timeline VT, AT, OAT by the user. In the example depicted in  FIG. 3 , the selection element  89  is a vertical guideline spanning each of the respective timelines VT, AT, OAT and indicating what event is invoked on each timeline at the same moment in time. By moving the event of interest (e.g., a video segment) along its respective timeline with the selection element  89 , at least a portion of the data sequence (e.g., the visual data sequence VS) associated with the selection element also moves along the timeline. Moreover, at least one of the visual event markers  65 , audio event markers  71 , and overlay audio event markers  81  can be selected and snapped to the location of another of the event markers located on another of the timelines. In this manner, the various video segments VS and audio segments AS can be moved and snapped to appropriate locations whereby event markers  65 ,  71 ,  81  from different timelines are snapped into alignment with one another. 
         [0046]    In this manner, the user can select a particular point to determine exactly which of the media from each data sequence VS,  25 A,  25 B will be shown at the particular time associated with the selection element  89 . In another embodiment, this selection element  89  has further functions. For example, selection of the selection element  89  can increase the granularity of event markers  65 ,  71 ,  81  within the visual elements, the audio elements, and the overlay audio elements occurring at the selected time. In other words, increased granularity can be invoked over only a portion of the timeline including those elements associated with the time of the selection element  89 . 
         [0047]    In still another embodiment, a selection element  91  (e.g., a check box) for selecting the inclusion or exclusion of event markers  65 ,  71 ,  81  indicating particular types of events is included in the user interface  41 . In one embodiment, such selection elements  91  for selecting the inclusion or exclusion of event markers  65 ,  71 ,  81  indicate particular types of events. In the example shown in  FIG. 3 , a new face selection element  91 A, a new scene selection element  91 B, an end-of-phrase selection element  91 C, a music beat selection element  91 D, and a dynamic audio change selection element  91 E are depicted. By selecting and deselecting one or more of such selection elements  91 , particular event markers  65 ,  71 ,  81  are included or excluded, respectively. For example, a user wishing to focus editing efforts only on new faces and music beat could select the new face selection element  91 A and the music beat selection element  91 D, while deselecting the remaining selection elements, such that only event markers  65 ,  71 ,  81  associated with new faces and music beat are shown. Other selection elements directed to event markers based upon other characteristics are also contemplated as within the scope of the embodiments of the present invention. 
         [0048]    The selection elements  91  for selecting the inclusion or exclusion of event markers  65 ,  71 ,  81  can also each comprise a corresponding selection element (not shown) (e.g., a slider bar) adapted for adjusting the granularity of the inclusion or exclusion of the event markers associated with a particular selection element. For example, a granularity selection element associated with the new face selection element  91 A can be adjusted to increase or decrease the frequency of new face events by increasing or decreasing the sensitivity of the analysis engine  37 . Moreover, a selection element  93  for increasing or decreasing the granularity of the placement of all of the event markers  65 ,  71 ,  81  provides a mechanism for quickly increasing or decreasing the population of all events, depending upon the preference of the user. 
         [0049]    The user interface  41  can be configured to provide functions even more specific than those discussed above. For example, a selection element can be included for automatically adjusting the viewing time of at least one of the digital images I to begin and end during the visual data sequence VS between audio beats of the overlay audio data sequence  25 B. In another alternative embodiment, a selection element can be included for automatically adjusting the timeline position of at least one of the digital images I including the image of a particular item to appear substantially adjacent other video segments VS or digital images also including the image of the same item. Such a selection element can be useful in grouping similar items near one another in the timelines VT, AT, OAT. In one further alternative embodiment, the image of a particular item is the image of a person, whereby video segments and digital images of particular people can be automatically placed adjacent one another by selecting a single selection element. 
         [0050]    In another embodiment, the user interface  41  further comprises an aggregate timeline (see  FIG. 1 ) depicting the visual data sequence VS, the audio data sequence  25 A, and the overlay audio data sequence  25 B in a single, aggregate timeline. 
       System for Analyzing Data Sequences 
       [0051]    A system, generally indicated  101 , for analyzing data sequences VS,  25 A,  25 B and extracting metadata associated with the data sequences for providing information related to events of the data sequences is depicted in  FIG. 5 . Broadly, the system  101  comprises application programs  103 , including an analysis engine  105 , and application data  107 . The analysis engine  105  comprises a metadata extraction module  105 A for extracting metadata associated with the data sequences VS,  25 A,  25 B, generally as set forth above. The analysis engine  105  further comprises a metadata aggregation module  105 B for aggregating the extracted metadata from the data sequences VS,  25 A,  25 B. 
         [0052]    The analysis engine  105  further comprises a user interface metadata association module  105 C for providing information related to the aggregated metadata to a user via a user interface. Other modules  105 D directed to other aspects of the embodiments of the present invention are also contemplated herein and depicted generally in  FIG. 5 . 
         [0053]    The application data  107  comprises at least one visual data sequence VS, at least one audio data sequence  25 A, and at least one second, or overlay, audio data sequence  25 B, each stored as application data and generally as set forth above. The application data  107  further comprises metadata associated with the visual data sequence  107 A extracted by the metadata extraction module, metadata associated with the audio data sequence  107 B extracted by the metadata extraction module, and metadata associated with the second, or overlay, audio data sequence  107 C extracted by the metadata extraction module. The extracted metadata associated with the visual data sequence  107 A comprises at least one of face patterns, color entropy characteristics, chroma values and patterns, luma values and patterns, among others. Each metadata element is associated with a timeline location corresponding to a timeline relating the data sequences to one another. The extracted metadata associated with the audio data sequence comprises at least one of pauses between phrases of an audio data sequence comprising speech, music, and recorded sounds, among others. In another embodiment, the application data further comprises other data  107 D, such as a particular user-selected view, or other data. Moreover, the application data  107  comprises aggregated metadata  107 E aggregated by the metadata aggregation module  105 B. Beyond aggregated metadata, the aggregated metadata  107 E may further comprise other related data, such as the sorting order for the resultant set of metadata. For example when sorting a spreadsheet application, one may select which rows or columns have precedence in sorting hierarchy and how the sorted hierarchy should be ordered. With the present example, the user may configure the sorting hierarchy of the event detection (e.g. determine and visualize a specific face detection over a generic face, and then determine how many faces are present in a scene, etc.). 
       Data Record 
       [0054]    Referring to  FIG. 6 , an exemplary data record, generally depicted  111 , corresponding to an event marker  65 ,  71 ,  81  on a timeline VT, AT, OAT is depicted. Such a data record  111  would be generated for each event marker  65 ,  71 ,  81  associated with a particular data sequence VS,  25 A,  25 B. The exemplary data record  111  comprises a timeline location  111 A of the event on the timeline VT, AT, OAT. This timeline location can be readily amended as the position of the event on the timeline changes, while maintaining the other information related to the event. The data record  111  further includes a type indicator  111 B of the type of event indicated on the timeline. These data are useful in indicating the nature of the event, as discussed above. The data record  111  further comprises a sequence indicator  111 C, or individual sequence number, indicating the location of the event relative to other events of the timeline VT, AT, OAT. The data record  111  further comprises an icon  111 D indicative of the nature of the corresponding event and an alternate icon  111 E indicative of the nature of the corresponding event. The alternate icon can provide the user with a choice of icons for a particular event, or serve as a substitute icon if the first icon is unavailable or otherwise unusable. 
         [0055]    The data record  111  further comprises a data explaining the function of the data record  111 F, such as for use with a tool tip text that appears when hovering a mouse cursor over an object (see  FIG. 3 ). An alternate data  111 G explaining the function of the data record is also included. The data record  111  further comprises a value indicator indicative of the relative value of the corresponding event. In the example shown, the value indicator is a line and the data record  111  further comprises a line height value  111 H, a line thickness value  111 I, and a line color value  111 J, generally as set forth above. 
       General Purpose Computing Device 
       [0056]      FIG. 7  shows one example of a general purpose computing device in the form of a computer  130 . In one embodiment of the invention, a computer such as the computer  130  is suitable for use in the other figures illustrated and described herein. Computer  130  additionally has one or more processors or processing units  132  and a system memory  134 . 
         [0057]    The computer  130  typically has at least some form of computer readable media. Computer readable media, which include both volatile and nonvolatile media, removable and non-removable media, may be any available medium that can be accessed by computer  130 . By way of example and not limitation, computer readable media comprise computer storage media and communication media. Computer storage media include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information. Communication media typically embody computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism and include any information delivery media. 
         [0058]    A user may enter commands and information into computer  130  through input devices or user interface selection devices such as a keyboard  180  and a pointing device  182  (e.g., a mouse, trackball, pen, or touch pad). Other input devices (not shown) may include a microphone, joystick, game pad, camera, scanner, or the like. These and other input devices are connected to processing unit  132  through a user input interface  184  that is coupled to system bus  136 , but may be connected by other interface and bus structures, such as a parallel port, game port, or a Universal Serial Bus (USB). A monitor  188  or other type of display device is also connected to system bus  136  via an interface, such as a video interface  190 . 
         [0059]    The computer  130  may operate in a networked environment using logical connections to one or more remote computers, such as a remote computer  194 . The remote computer  194  may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to computer  130 . 
         [0060]    Although described in connection with an exemplary computing system environment, including computer  130 , the embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations. The computing system environment is not intended to suggest any limitation as to the scope of use or functionality of the embodiments of the invention. Moreover, the computing system environment should not be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in the exemplary operating environment. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the embodiments of the invention include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, mobile telephones, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. 
         [0061]    Those skilled in the art will note that the order of execution or performance of the methods illustrated and described herein is not essential, unless otherwise specified. That is, it is contemplated by the inventors that elements of the methods may be performed in any order, unless otherwise specified, and that the methods may include more or less elements than those disclosed herein. 
         [0062]    When introducing elements of the present invention or the embodiment(s) thereof, the articles “a,” “an,” “the,” and “said” are intended to mean that there are one or more of the elements. The terms “comprising,” “including,” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements. 
         [0063]    As various changes could be made in the above products and methods without departing from the scope of the invention, it is intended that all matter contained in the above description and shown in the accompanying drawings shall be interpreted as illustrative and not in a limiting sense.