Retrieval-oriented monitoring video semantic description and inspection modeling method

A surveillance video and semantic description technology, applied in the field of surveillance video description and retrieval, can solve the problems of redundant description information, resource waste information, and irrelevance between video objects

A surveillance video and semantic description technology, applied in the field of surveillance video description and retrieval, can solve the problems of redundant description information, resource waste information, and irrelevance between video objects

CN102880692AActive Publication Date: 2013-01-16SHANGHAI JIAO TONG UNIV
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  • Retrieval-oriented monitoring video semantic description and inspection modeling method
  • Retrieval-oriented monitoring video semantic description and inspection modeling method
  • Retrieval-oriented monitoring video semantic description and inspection modeling method

Examples

Experimental program
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Embodiment Construction

[0060] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0061] In this embodiment, aiming at typical violation events in traffic monitoring video, the improved monitoring video semantic description scheme proposed in the present invention is used to generate video description flow information, and finally the interesting event in the video is realized based on the object layer semantic information in the description flow. detection modeling. In this embodiment, Visual Studio 2010 is used as a test platform, and toolkits such as openCV and tinyxml are u...

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Abstract

The invention discloses a retrieval-oriented monitoring video semantic description and inspection modeling method. The method comprises the steps as follows: first analyzing the advantages and disadvantages of a present MPEG-7 based video description scheme in a monitoring field, and subdividing video objects into moving objects and stationary regions for description, aiming at the problem that user interested stationary regions are not defined. The method simultaneously defines a second-stage spatial relationship on a time dimension to describe a time variable spatial relationship, in order to solve the problem of description information redundancy in the relationship between objects in a description flow. At last, the method proves that the improved monitoring video semantic description scheme attains a description flow of monitoring video through inspection modeling of events, and can well support the understanding of high-level semantic information.

Description

technical field [0001] The invention relates to the field of description and retrieval of surveillance video, in particular to an improved semantic description and retrieval method for surveillance video. Background technique [0002] The 21st century is an information age. With the rapid development of the information technology industry represented by multimedia, people's requirements for the safety of living and working environments are also increasing, and monitoring facilities are increasingly appearing in various public places. At present, video surveillance systems have been involved in all walks of life in society, such as traffic intersections, supermarkets, banks, stations, and residential quarters. Many monitoring equipment, such as Olympic venues, People's Square, World Expo site, etc. [0003] 1. Problems in traditional video surveillance systems [0004] Video surveillance system is the product of comprehensive application of multimedia technology, network co...

Claims

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Application Information

Patent Timeline
16 Jan 2013
Publication
CN102880692A
IPC
G06F17/30; G06K9/00
Inventors
张重阳; 丁正彦