US2016300145A1PendingUtilityA1

System and method for identification of deviations from periodic behavior patterns in multimedia content

Assignee: CORTICA LTDPriority: Oct 26, 2005Filed: Jun 22, 2016Published: Oct 13, 2016
Est. expiryOct 26, 2025(expired)· nominal 20-yr term from priority
G06F 2218/12H04N 21/252H04N 21/25891H04N 21/466H04N 21/4532G06N 5/04H04H 60/37H04N 7/17318H04H 2201/90H04H 60/56H04N 21/2668H04N 21/8106G06V 20/46G10L 15/32H04H 60/48G06Q 30/0251G06F 16/957
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Claims

Abstract

A method and system for identification of a deviation from a periodic behavior pattern in a sequence of multimedia content segments are provided. The method includes generating at least one signature for each multimedia content segment of the sequence of multimedia content segments; comparing at least two of the generated signatures to detect a periodic behavior pattern, wherein the compared at least two signatures represent consecutive multimedia content segments; and comparing at least one signature of at least a subsequently received multimedia content segment to at least one signature representing the periodic behavior pattern to identify a deviation from the periodic behavior pattern.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method for identification of a deviation from a periodic behavior pattern in a sequence of multimedia content segments, comprising:
 generating at least one signature for each multimedia content segment of the sequence of multimedia content segments;   comparing at least two of the generated signatures to detect a periodic behavior pattern, wherein the compared at least two signatures represent consecutive multimedia content segments; and   comparing at least one signature of at least a subsequently received multimedia content segment to at least one signature representing the periodic behavior pattern to identify a deviation from the periodic behavior pattern.   
     
     
         2 . The method of claim of  1 , wherein each multimedia content segment of the sequence of multimedia content segments is at least one of: an image, a graphic, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, images of signals, and a portion thereof. 
     
     
         3 . The method of  claim 1 , wherein the periodic behavior pattern is related to at least one of: an object that appears in the sequence of multimedia content segments at regular time intervals, an event that occurs through the sequence of multimedia content segments at regular time intervals, and an activity that occurs through a number of consecutive segments at regular time intervals. 
     
     
         4 . The method of  claim 3 , wherein the object, the event, and the activity are determined using a context of the received sequence of multimedia content segments. 
     
     
         5 . The method of  claim 1 , wherein the periodic behavior pattern is detected upon identification of a number of matching signatures of consecutive content segments exceeding a first threshold. 
     
     
         6 . The method of  claim 5 , wherein at least two signatures match when the at least two signatures overlap more than a first matching threshold level. 
     
     
         7 . The method of  claim 1 , further comprising:
 generating a baseline signature based on the periodic behavior pattern, wherein identifying the deviation from the periodic behavior pattern further includes comparing the at least one signature of the at least a subsequently received multimedia content segment to the baseline signature.   
     
     
         8 . The method of  claim 1 , further comprising:
 identifying a multimedia content segment representing the periodic behavior pattern; and   generating a representative segment signature based on the identified multimedia content segment representing the periodic behavior pattern, wherein identifying the deviation from the periodic behavior pattern further includes comparing the at least one signature of the at least a subsequently received multimedia content segment to the representative segment signature.   
     
     
         9 . The method of  claim 1 , wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of computational cores configured to receive a plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core. 
     
     
         10 . A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to  claim 1 . 
     
     
         11 . A system for identification of a deviation from a periodic behavior pattern in a sequence of multimedia content segments, comprising:
 a processing system; and   a memory connected to the processing system, the memory containing instructions that, when executed by the processing system, configure the system to:   generate at least one signature for each multimedia content segment of the sequence of multimedia content segments;   compare at least two of the generated signatures to detect a periodic behavior pattern, wherein the compared at least two signatures represent consecutive multimedia content segments; and   compare at least one signature of at least a subsequently received multimedia content segment to at least one signature representing the periodic behavior pattern to identify a deviation from the periodic behavior pattern.   
     
     
         12 . The system of  claim 11 , wherein each multimedia content segment of the sequence of multimedia content segments is at least one of: an image, a graphic, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, images of signals, and portions thereof. 
     
     
         13 . The system of  claim 11 , wherein the periodic behavior pattern is related to at least one of: an object that appears in the sequence of multimedia content segments in regular time intervals, an event that occurs through the sequence of multimedia content segments in regular time intervals, and an activity that occurs through a number of consecutive segments in regular time intervals. 
     
     
         14 . The system of  claim 13 , wherein the object, the event, and the activity are determined using a context of the received sequence of multimedia content segments. 
     
     
         15 . The system of  claim 11 , wherein the periodic behavior pattern is detected upon identification of matching of signatures of a number of consecutive content segments exceeding a first threshold. 
     
     
         16 . The system of  claim 15 , wherein at least two signatures match when the at least to signatures overlap more than a first preconfigured threshold level. 
     
     
         17 . The system of  claim 11 , wherein the system is further configured to:
 generate a baseline signature based on the periodic behavior pattern, wherein identifying the deviation from the periodic behavior pattern further includes comparing the at least one signature of the at least a subsequently received multimedia content segment to the baseline signature.   
     
     
         18 . The system of  claim 11 , wherein the system is further configured to:
 identify a multimedia content segment representing the periodic behavior pattern; and   generate a representative segment signature based on the identified multimedia content segment representing the periodic behavior pattern, wherein identifying the deviation from the periodic behavior pattern further includes comparing the at least one signature of the at least a subsequently received multimedia content segment to the representative segment signature.   
     
     
         19 . The system of  claim 11 , further comprising:
 a signature generator system, wherein each signature is generated by the signature generator system, wherein the signature generator system includes a plurality of computational cores configured to receive a plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core.

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