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Video scene detection

A scene detection and scene technology, applied in TV, using detectable carrier information, color TV, etc., can solve the problems of unpredictable correlation and high cost

Inactive Publication Date: 2015-08-19
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The corresponding algorithm is still relatively complex and computationally expensive
Furthermore, while correlations among the individual frames that make up a shot may be quite reliable, correlations among shots comprising a scene may be more unpredictable and may depend on the angle of the camera, the nature of the scene, and / or other factors
Correspondingly, it can be provably challenging to recognize scenes reliably and repeatedly

Method used

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  • Video scene detection
  • Video scene detection
  • Video scene detection

Examples

Experimental program
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Embodiment Construction

[0015] figure 1 A schematic diagram of one embodiment of a scene detection system 10 for detecting one or more scenes in video content is shown. Scene detection system 10 includes scene detection program 14 stored in mass storage 18 of computing device 22 . Scene detection program 14 may be loaded into memory 26 and executed by processor 30 of computing device 22 to implement one or more of the methods and processes described in more detail below.

[0016] Video content 34 may be stored in mass storage 18 . In some examples, video content 34 may be received by computing device 22 from a removable computer-readable storage medium 50 (shown here in the form of a DVD). The removable computer-readable storage medium 50 may be used to store and / or communicate data including, but not limited to, video content 34, scene detection programs 14, and other media content and / or programs executable to implement the methods and processes described herein. instruction. Removable computer...

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PUM

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Abstract

Systems and related methods for detecting a scene in video content are provided. In one example, a scene detection program identifies a plurality of shots in the video content and selects a target shot. The program builds a forward window including the target shot and having shots that are temporally ahead of the target shot, and a rearward window having shots that are temporally behind the target shot. For each of the shots in the forward window the program determines a dissimilarity between a selected shot in forward window and each of the other shots in the rearward window. If one or more of the dissimilarities is less than a scene boundary threshold, the program determines that the scene does not begin at the target shot. If none of the dissimilarities is less than the scene boundary threshold, the program determines that the scene begins at the target shot.

Description

Background technique [0001] In some forms of video content, video may consist of individual video frames that may be grouped into several shots. In some examples, a shot may be characterized as a series of frames taken with a certain viewpoint of a camera. A scene may be characterized as a collection of shots that may be related in action, location, context, and / or time, where such correlation may correspond to the nature of the content or program. For example, in some examples of a series of comedy shows, soap operas, and / or dramatic shows, a scene may be characterized as a collection of footage filming a certain action taking place at a particular location. [0002] While watching or browsing video content, a user may desire to access a particular scene or portion of the content that is related to a scene. One method of locating scenes within video content may involve grouping individual frames into shots by detecting shot boundaries at shot transitions. Cut cut transitio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04N5/14
CPCG11B27/28G06K9/00744H04N5/147G06V20/46
Inventor M.努尔卡米Y.L.陈
Owner MICROSOFT TECH LICENSING LLC