Abstract:
A method of summarizing events in a video recording includes evaluating at least one video recording to identify event that violate at least one rule. The method further includes excerpting a fragment of the at least one video recording. The fragment contains a depiction of the event. The method also includes causing the fragment to be included in a summary video recording. The rules may relate to a threshold amount of motion in a physical space being recorded in the at least one received video recording, or a threshold duration of motion in a physical space being recorded in the at least one received video recording.

Description:
BACKGROUND OF THE INVENTION 
       [0001]    Certain types of video recordings, for example surveillance recordings associated with security systems, chronicle an environment over long periods of time. Such video recordings may include only a very few relevant events. Finding and presenting those relevant events can be a long, tedious process. 
         [0002]    Existing video surveillance systems do a poor job of directing a reviewer to operational video of interest. The reviewer can search by, for example, date and time, or for video connected with a motion or alarm event, but the reviewer must play back the video one search result at a time. This is a time-consuming process, so reviewers are unlikely to conduct reviews unless they already know there is an issue requiring review. 
         [0003]    While some analytic tools aim to filter the search results more effectively, the user is still compelled to play back one video at a time. 
       SUMMARY OF THE INVENTION 
       [0004]    The described embodiments automatically create, from one or more real-time video recordings, a short video that provides a summary of significant events from the real-time recordings. 
         [0005]    The following example demonstrates benefit of the described embodiments. Assume that a certain retail establishment includes 10 stores, each with 8 surveillance cameras. Assume also that all of the video from these 80 cameras is stored on a cloud video storage system, producing 1920 hours (10 stores×8 cameras×24 hours) of video in any given day. A district manager in charge of all 10 stores would like to gain useful information from these surveillance videos, but sorting through 1920 hours of video, even with some idea of where to look, is a daunting task. 
         [0006]    The described embodiments may automatically create, from one or more real-time surveillance video recordings, a short video clip (e.g., 10 minute; also referred to herein as a highlight reel) that provides relevant information to the district manager. In certain industries, such as retail chains for quick service restaurants, convenient stores, or food shops associated with gas stations, there are repeated patterns of what the district managers are seeking The described embodiments may extract and generalize these questions to create an interface of menu options. Using this menu interface, a district manager can specify certain types of events that he or she is interested in seeing within a given time period (e.g., within a day, week or month). The described embodiment may apply various smart video extraction tools to create the highlight reel based on the district manager&#39;s interests. 
         [0007]    In one aspect, the described embodiments are a method of summarizing events in a video recording. The method includes evaluating at least one video recording to identify event that violate at least one rule. The method further includes excerpting a fragment of the at least one video recording, the fragment containing a depiction of the event. The method also includes causing the fragment to be included in a summary video recording. 
         [0008]    In one embodiment, at least one of the one or more rules relates to a threshold amount of motion in a physical space being recorded in the at least one received video recording. In another embodiment, at least one of the one or more rules relates to a threshold duration of motion in a physical space being recorded in the at least one received video recording. In an embodiment, at least one of the one or more rules relates to presence of a particular color in a physical space being recorded in the at least one received video recording. In another embodiment, at least one of the one or more rules relates to a quantity of items in a physical space being recorded in the at least one received video recording. In yet another embodiment, at least one of the one or more rules relates to a size of an item in a physical space being recorded in the at least one received video recording. In another embodiment, the one or more rules further includes one or more rule exceptions. 
         [0009]    In one embodiment, at least one fragment in the summary video is presented at a frame rate other than real-time. Another embodiment includes limiting the fragment of the first video to a particular period of time. 
         [0010]    One embodiment includes adding additional rules subsequent to initiating the evaluating, and continuing the evaluating with the one or more rules and the additional rules. In another embodiment, at least one received video recordings includes video feeds from two or more physical locations. 
         [0011]    In another aspect, the described embodiments are a system for summarizing events in a video recording. The system includes a memory device for storing at least one video recording. The system includes a microprocessor-based workstation configured to evaluate the at least one video recording to identify an event that violates at least one rule. The microprocessor-based workstation is further configured to excerpt a fragment of at least one video recording, the fragment containing the event. The microprocessor-based workstation is further configured to cause the fragment to be included in a summary video recording. 
         [0012]    In another aspect, the described embodiments are a tangible, non-transitory, computer readable medium for storing computer executable instructions for summarizing events in a video recording, with the computer executable instructions for evaluating at least one video recording to identify event that violate at least one rule, excerpting a fragment of the at least one video recording, the fragment containing a depiction of the event, and causing the fragment to be included in a summary video recording. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0013]    The foregoing will be apparent from the following more particular description of example embodiments of the invention, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments of the present invention. 
           [0014]      FIG. 1  illustrates an example of a user interface according to the described embodiment. 
           [0015]      FIG. 2  illustrates another version of the user interface of  FIG. 1 . 
           [0016]      FIG. 3  illustrates another version of the user interface of  FIG. 1 . 
           [0017]      FIG. 4  illustrates another version of the user interface of  FIG. 1 . 
           [0018]      FIG. 5  shows an overview presentation of a summary video recording according to the described embodiments. 
           [0019]      FIG. 6  shows an example of a dashboard according to the described embodiments. 
       
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       [0020]    A description of example embodiments of the invention follows. 
         [0021]    The described embodiments provide a summary video recording (also referred to herein as a video digest or video highlight reel), which includes one or more video fragments (i.e., short video scenes) excerpted from what is generally a much longer video recording or recordings, such as one or more real-time surveillance video recordings. The summary video recording is also based on criteria (also referred to herein as rules) provided by a user, i.e., one who is tasked with extracting useful information from video recordings. The particular criteria will be described in detail herein, but may include for example:
       (a) Is the video summary fixed duration or variable duration?   (b) If fixed duration, what is the video summary duration?   (c) Which locations should be monitored?   (d) Which areas, within a particular location, should be monitored?   (e) What events, if detected, should trigger excerpting a fragment to the summary video?   (f) Where should the source video recordings be stored?   (g) Where should the summary video be stored?       
 
         [0029]    One embodiment may use motion as an event that triggers excerpting a fragment to a summary video. The embodiment may use a certain amount of motion (e.g., motion across a certain region or motion beyond a certain rate) or lack of motion to trigger excerpting a fragment. Other embodiments may use other events to trigger excerpting a fragment, such as detection of color or a lack of color, or size or quantity of an item. 
         [0030]    The described embodiments may provide a user with the ability to set such criteria with a user interface, an example of which is shown in  FIG. 1 . The user interface may be implemented through software executing on any of a variety of processing platforms known in the art. For example, the software may implement the user interface on a desktop, laptop or notebook computer, on a smartphone, or on a tablet or other such handheld processing device. 
         [0031]    The criteria the user sets may be stored locally on the processing device that implements the user interface, or they may be pushed to a remote location across a network (e.g., cloud-based storage). The real-time video recordings may also be transferred to and stored at a remote location across a network. Accordingly, evaluation of the real-time video recording against the criteria can be carried out from anywhere that can access the remote location. 
         [0032]    The specific example shown in  FIG. 1  depicts the creation of a new summary video recording. The user interface  100  includes a selection icon  102  for initiating a new summary video recording. The selection icon in this case is a graphical button, but other embodiments may use other graphical selection tools known in the art. The user interface  100  also includes a name field  104  that allows a user to enter a name for the new summary video recording. This name field  104  may also display the name of a previously-created summary video recording that is opened for editing on the user interface  100 . 
         [0033]    The user interface  100  further includes a set of radio buttons  106  for selecting an activity type to be included in the summary video recording. While radio buttons are shown for this example, other graphical selection tools may also be used. The example shown in  FIG. 1  presents three different activity types. One selection is “any activity,” which essentially places no restrictions on the activity type. Another selection allows a user to place a restriction on the duration of activity to be included in the summary video recording. Another selection allows a user to place a restriction on duration of lack of activity to be included on the summary recording. 
         [0034]    The user interface  100  also includes selection tools for selecting either particular locations (stores in this example) or a global “all locations” choice  108 ; for selecting specific views at the chosen location  110 , for selecting evaluation days  112  and times  114 ; for selecting playback speed for the video fragments excerpted from the longer video recording and placed on the summary video recording. The user interface  100  includes selection tools that allow the user to save  118  the selected rules or to delete  120  an existing rule set. 
         [0035]      FIG. 2  illustrates a particular set of rules selected by a user. In this example, the user selected “all stores”  208  with the “offices” view  210 , which encompasses potential activity across all stores in the purview of the user (e.g., the district manager). The timeframe selected is the lunch shift from 11:00 am to 1:00 pm, and the type of activity selected in any activity lasting longer than 30 seconds. This particular set of rules would be useful to a fast food chain district manager who is concerned with local managers spending significant amounts of time (i.e., over 30 seconds) in the office, when the local manager should be on the floor handling the lunchtime rush. With this example embodiment, any motion detected in any monitored office, that occurs during lunchtime triggers a video fragment depicting that motion to be excerpted from the surveillance video recording and placed into the summary video recording. 
         [0036]      FIG. 3  illustrates a similar rule scenario as is shown in  FIG. 2 , except with specific stores  308  selected. In this example, only the specified activity occurring in either store  1 , store  2 , store  6  or store  8  will trigger a video fragment depicting that activity to be excerpted from the surveillance video recording and placed into the summary video recording. 
         [0037]      FIG. 4  illustrates a user interface that may be used by several district managers, so that certain stores  408  within certain districts  409  may be selected by each particular district manager. 
         [0038]    One described embodiment may present a summary video overview after generating a summary video recording. An example overview is shown in  FIG. 5 . In this example, provide an “unusual activity” group  502 , depicting results that may have been generated based on rules selected by a user. Each set of results is tagged with an indication  504  of how many video fragments are within a particular category. For example,  FIG. 5  shows that seven fragments were found that violated the rule set concerning lunch rush. This example further provides a “random” group  506  that presents a randomly selected set of video fragments from the surveillance video recording. This example also provides a summary table  508  that provides a listing and description of the fragments presented for this overview. 
         [0039]    The described embodiments may also provide a dashboard presentation to the user that provides a high-level view of the summary video recording.  FIG. 6  illustrates an example of a dashboard according to the described embodiments. A first indication  602  provides a green dot with “yes” to the question, “Did every store open on time,” which indicates that every store the user is entitled to monitor opened on time. A calendar control  604  allows a user to select a particular day for dashboard results. A video viewer  606  is provided to show video fragments associated with certain dashboard items. In this example, a video of the Modesto store is shown. The video viewer includes a “share clip” (i.e., share video fragment) feature  608  that allows the user to convey the fragment to other users. A “view clip in context” tool  610  allows the user to view a single camera view, at the date and time on that specific camera in that selected store. These are all parts of an example dashboard—other features may alternatively be used or in addition to what is shown. 
         [0040]    In some embodiments, the summary video recording may be a fixed duration, selected by the user. With a summary video recording of fixed duration, the duration of each video fragment of the summary video will change depending upon the total number of video fragments. In some embodiments, the fragment remains displayed in real-time with less of the real-time information provided. In other embodiments, the fragment is “sped up” so that more real-time information is compressed within a particular amount of time. 
         [0041]    It will be apparent that one or more embodiments, described herein, may be implemented in many different forms of software and hardware. Software code and/or specialized hardware used to implement embodiments described herein is not limiting of the invention. Thus, the operation and behavior of embodiments were described without reference to the specific software code and/or specialized hardware—it being understood that one would be able to design software and/or hardware to implement the embodiments based on the description herein 
         [0042]    Further, certain embodiments of the invention may be implemented as logic that performs one or more functions. This logic may be hardware-based, software-based, or a combination of hardware-based and software-based. Some or all of the logic may be stored on one or more tangible computer-readable storage media and may include computer-executable instructions that may be executed by a controller or processor. The computer-executable instructions may include instructions that implement one or more embodiments of the invention. The tangible computer-readable storage media may be volatile or non-volatile and may include, for example, flash memories, dynamic memories, removable disks, and non-removable disks. While this invention has been particularly shown and described with references to example embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention encompassed by the appended claims.