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Method for clustering and browsing video scenes

A technology of video scene and clustering method, applied in the field of video processing, can solve the problem of inability to express the relationship between scenes, and achieve the effect of improving browsing efficiency

Inactive Publication Date: 2013-12-11
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the video representation of its graph structure is still limited to the underlying video analysis at the shot level, and cannot express the relationship between scenes.

Method used

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  • Method for clustering and browsing video scenes
  • Method for clustering and browsing video scenes
  • Method for clustering and browsing video scenes

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Embodiment Construction

[0035] The implementation of the method of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] This embodiment specifically realizes a video scene clustering and browsing method. Firstly, the video shot is segmented, and then according to the shot clustering result, the switching relationship between the video scene category and the scene is obtained, and then the scene is represented by a node. Use the edge to represent the switching relationship, use the switching times as the edge weight, express the video scene structure in the form of a two-dimensional graph, and provide a browsing interface based on the two-dimensional graph, so that users can display the video scene structure according to the two-dimensional graph, Select the video scene of interest to browse.

[0037] The specific implementation steps of this embodiment are as follows:

[0038] Step 1. Shot boundary detection and segmentation;

[0039] Read ...

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Abstract

The invention relates to a method for clustering and browsing video scenes. The method comprises the following steps that shot boundaries are detected and divided; shot key frames are extracted; similarity between shots is calculated; the shots are clustered; the scenes are clustered; a scene graph is shown. By the utilization of the scene clustering, a video-scene-level content graph structure is obtained, and high-level semantic information of videos based on the scenes is obtained; a two-dimensional graph structure is used for expressing a video structure, a guide non-linear video browsing mode is provided for users, and the browsing efficiency is improved.

Description

Technical field: [0001] The invention relates to a video scene clustering method, in particular to a video scene clustering and nonlinear browsing method based on a two-dimensional graph structure, and belongs to the field of video processing. Background technique: [0002] In order to clearly express video content and provide users with efficient video browsing, video is generally divided into four hierarchical layers: frame, shot, scene and video. A video frame is an image saved in video data; a shot is a collection of several consecutive frames shot continuously by a camera; one or more consecutive shots expressing the same semantics constitute a scene. [0003] Since video representation is a fundamental problem, there have been many works in this area, among which video summarization is more suitable for browsing video content. Common video summarization methods include static summarization and dynamic skimming. For example, hierarchical scene puzzles in static synops...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06F17/30
Inventor 张磊徐千昆黄华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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