Summarization of football video content

• US 7,499,077 B2
• Filed: 08/20/2001
• Issued: 03/03/2009
• Est. Priority Date: 06/04/2001
• Status: Expired due to Fees

• Current Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Sharp Laboratories of America Incorporated (Hon Hai Precision Industry Co., Ltd.)
• Inventors: Sampsell, Jeffrey B., Li, Baoxin, Sezan, M. Ibrahim
• Primary Examiner(s): DIEP, NHON THANH
• Application Number:
  US09/933,862
• Publication Number:
  US 20030063798A1
• Time in Patent Office: 2,752 Days
• Field of Search: None
• US Class Current: 348/159
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• 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 16/7834 using audio features
• CPC Class Codes: G06F 16/785 using colour or luminescence
• CPC Class Codes: G06F 16/786 using motion, e.g. object motion or camera motion
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 20/40 in video content extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• 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 19/142 Detection of scene cut or scene change
• CPC Class Codes: H04N 19/179 the unit being a scene or a shot
• CPC Class Codes: H04N 19/87 involving scene cut or scene change detection in combination with video compression
• CPC Class Codes: H04N 21/23418 involving operations for analysing video streams, e.g. detecting features or characteristics television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• 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 21/47202 for requesting content on demand, e.g. video on demand
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments
• CPC Class Codes: H04N 21/8549 Creating video summaries, e.g. movie trailer retrieval in video databases by using presentations in form of a video summary G06F16/739
• CPC Class Codes: H04N 7/173 with two-way working, e.g. subscriber sending a programme selection signal

Abstract

Summarization of video content including football.

Claims

1. A method of automatically summarizing a video having a sequence of frames including football comprising:

(a) a computer identifying a plurality of segments of said video without manual input, each of said plurality of segments depicting an event beginning from a first time when a ball is put into play and ending at the sequentially next one of a second time when said ball is out of play, where each of said segments includes a plurality of said frames of said video;

(b) a computer creating a summarization of said video by including said plurality of segments, where said summarization includes fewer frames than said video; and

(c) wherein said computer identifies a start time and an end time of each of said plurality of segments included in said summary, and wherein said start time is identified by inferring the location of the frame in said sequence that most closely temporally corresponds to said first time by an analysis of one or more sequential frames of a candidate segment, said analysis performed without comparing characteristics of any one of said one or more sequential frames to characteristics of frames of model sequences of said event occurring, wherein said analysis includes the step of identifying candidate frames for a start of a said event by detecting a predominant color in a said candidate frame, said predominant color being within a range of gamut reduced by a calibration of the color of the field upon which the game being summarized is played.

2. The method of claim 1 wherein said color is green and said range of gamut is reduced from a default range of green color.