Video filtering system

• US 20070212023A1
• Filed: 12/13/2005
• Published: 09/13/2007
• Est. Priority Date: 12/13/2005
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Whillock, Rand
• Application Number:
  US11/301,620
• Publication Number:
  US 20070212023A1
• Time in Patent Office: Days
• US Class Current: 386/281
• CPC Class Codes: G06F 16/739 in form of a video summary, e.g. the video summary being a video sequence, a composite still image or having synthesized frames
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/7834 using audio features
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: H04N 21/4334 Recording operations recording of a television signal H04N5/76; arrangements for recording or accumulating broadcast information or broadcast-related information H04H60/27
• CPC Class Codes: H04N 21/4394 involving operations for analysing the audio stream, e.g. detecting features or characteristics in audio streams arrangements characterised by components specially adapted for monitoring, identification or recognition of audio in broadcast systems H04H60/58
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4828 for searching program descriptors retrieval of video data G06F16/739
• CPC Class Codes: H04N 5/76 Television signal recording
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

A method, system, and computer program product is disclosed for selective filtering of video and audio content. Incoming content (e.g., video content and/or audio content) is broken into segments that are individually, on a segment-by-segment basis, analyzed using user-defined criteria, referred to as “cues”. Based on the quantity and weight of the cues in the segment, the segment is rated, i.e., given a score. If the score of a particular segment is above a predetermined threshold, the segment is stored for later use. If the segment is at or below the predetermined threshold, the segment is considered irrelevant or “uninteresting” relative to the user criteria, and the segment is discarded. Incoming content is buffered and, in parallel, a cue analysis is performed to break the content into segments and perform the rating process. In this manner, the streaming incoming content can be constantly monitored and analyzed and only the relevant/interesting segments are saved.

Claims

1. A system for selective filtering of content streams, comprising:

a content receiver;

a filtering processor coupled to receive content received by said content receiver; and

a selected-content storage device coupled to said filtering processor,

wherein said filtering processor is configured to automatically discard undesired content and automatically store desired content in said selected-content storage device.

2. The system of claim 1, wherein said filtering processor comprises:

a cue analysis processor coupled to said content receiver; and

a short-term content buffer coupled to said content receiver and said cue analysis processor;

wherein said cue analysis processor analyzes content received by said content receiver to identify cues in the content that identify the content as desired content.

3. The system of claim 2, wherein said cue analysis processor comprises:

a begin/end detection module breaking said content into two or more segments; and

a cue detection module analyzing each of said two or more segments to identify desired content elements within each segment and a weighted value for each desired content element.

4. The system of claim 3, wherein said cue analysis processor further comprises:

a cue evidence accrual module coupled to said cue detection module, processing the identified desired content elements within each segment to determine if said segment is a desired segment based on the weighted value of all of the desired content elements within said segment.

5. The system of claim 4, wherein said cue detection module comprises a plurality of detectors configured to analyze the content, with each detector performing its content analysis for specific content elements different than those performed by the other detector(s).

6. The system of claim 5, wherein said plurality of detectors include a face recognition detector and a voice recognition detector.

7. The system of claim 5, wherein said cue analysis processor further comprises a content editor coupled to said cue evidence accrual module and to said short-term content buffer, said content editor configured to receive begin and end codes for content that has been determined by said cue evidence accrual module to be desired content and, using said begin and end codes, designating said desired content for saving in said selected content storage device.

8. The system of claim 7, wherein said content buffer is configured to be flushed once all of the content stored therein has been analyzed by said filtering processor and all desired content from among the content stored in said filtering processor has been saved in said selected content storage device.

9. A method for selective filtering of content streams, comprising:

receiving content;

analyzing said content to identify desired and undesired content segments; and

automatically discarding undesired content segments and automatically storing desired content segments in a selected-content storage device.

10. The method of claim 9, wherein said analysis comprises:

analyzing said content to identify cues in the content that identify the content as desired content.

11. The method of claim 10, further comprising:

breaking said content into two or more segments; and

analyzing each of said two or more segments to identify desired content elements within each segment and a weighted value for each desired content element.

12. The method of claim 11, further comprising:

processing the identified desired content elements within each segment to determine if said segment is a desired segment based on the weighted value of all of the desired content elements within each segment.

13. The method of claim 12, further comprising:

identifying begin and end codes for content that has been determined to be desired content and, using said begin and end codes, designating said desired content for saving in said selected content storage device.

14. A computer program product for selective filtering of content streams, the computer program product comprising a computer-readable storage medium having computer-readable program code embodied in the medium, the computer-readable program code comprising:

computer-readable program code that receives content;

computer-readable program code that analyzes said content to identify desired and undesired content segments; and

computer-readable program code that automatically discards undesired content segments and automatically storing desired content segments in a selected-content storage device.

15. The computer program product of claim 14, wherein said computer-readable program code that analyzes content analyzes said content to identify cues in the content that identify the content as desired content.

16. The computer program product of claim 15, further comprising:

computer-readable program code that breaks said content into two or more segments; and

computer-readable program code that analyzes each of said two or more segments to identify desired content elements within each segment and a weighted value for each desired content element.

17. The computer program product of claim 16, further comprising:

computer-readable program code that processes the identified desired content elements within each segment to determine if said segment is a desired segment based on the weighted value of all of the desired content elements within each segment.

18. The computer program product of claim 17, further comprising:

computer-readable program code that identifies begin and end codes for content that has been determined to be desired content and, using said begin and end codes, designating said desired content for saving in said selected content storage device.