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Research on Ontology-based Description and Retrieval of Surveillance Video and Development of Streaming Media Release Platform
Author: MaLing
Tutor: ZhengShiBao
School: Shanghai Jiaotong University
Course: Signal and Information Processing
Keywords: Surveillance Video Ontology (Ontology) MPEG-7 OWL Description ontology Semantic Query
CLC: TN919.8
Type: Master's thesis
Year: 2010
Downloads: 78
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Abstract
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With the development of society and the rapid development of multimedia technology , more and more extensive monitoring technology , monitoring facilities also appear more and more in a variety of public places , like supermarkets, banks , traffic junctions . Sharp growth at the same time monitoring the video data to produce a massive surveillance video data , which gives tremendous pressure on after the video retrieval applications . Effectively extract the underlying characteristics of the surveillance video , middle , and even the high-level semantics and the hierarchical description of the structure of the outside of the video data stream , generating a description of the data of one video stream , which can be based on the description stream efficient retrieval and associated access to quick Search for massive video provides a viable solution . In this paper, the characteristics of the analysis of surveillance video and its application requirements, refer to MPEG-7 and other international standards , proposed an ontology-based surveillance video description and retrieval program . Will monitor the video is divided into a video meta data and video content data , respectively, will be described , wherein the description of the video content including video visual information layer described layer describes the semantics of the video object , the video advanced semantic layer description (including the semantic information of the actions, events , etc. ) three level. Combined with ontology (Ontology), to build a surveillance video description ontology , the description of the program has better versatility . Based on the description of the video program , designed and implemented a semantic-based video retrieval system , and the initial realization of semantic retrieval of surveillance video . Implementation , this choice of the most widely used Protégé ontology editor and select the OWL ontology language to describe the proposed surveillance video domain ontology . The powerful selection Jena Development Kit to provide ontology reasoning and OWL query interface , and finally Ontology based on surveillance video retrieval system implemented on the Java platform . The retrieval system , set the query pre-processing and output conversion , mapping user input language to body language , and final output as a result of a user - readable video clips to get a higher recall rate and more good user experience. Finally, the article also describes the development efforts made ??by the author in the master 's study period streaming publishing platform .
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