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Research on Technologies of Video Retrieval Supporting Semantic Analyzing

Author: ZhouZhiWei
Tutor: Zheng
School: University of Science and Technology of China
Course: Control Theory and Control Engineering
Keywords: MPEG-7 Semantic annotation Video Retrieval Distributed Systems
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 122
Quote: 0
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Abstract


The face the Internet Shanghai amount of video resources, and how to quickly and efficiently query and retrieval to meet user demand for video is a hot research field of information retrieval. Traditional video search technology, the following two categories: one is based on the video meta information retrieval method, retrieval method is based on the description of the video to match the key words in the text retrieval technology to retrieve, mainstream search engines Google and Baidu using this technique, but this technique is not the content information of the full utilization of the video itself, resulting in the retrieval accuracy is not high; other is a video content-based retrieval method, such a retrieval method is mainly based on the lower of the video The features to be retrieved, the efficiency of this technology is not high, and can not support high concurrent massive video retrieval services. Support semantic video retrieval technology can resolve the low accuracy and low efficiency problems based on the video content based on the meta-information retrieval, this technique is mainly for video semantic processing, based on the semantic information of the video indexing using mature keywords matching techniques to retrieve, to meet the different needs of the user's query. Support semantic video retrieval technology, mainly to study how to get high-level semantic information of the video, which retrieval methods to retrieve the semantic information, to achieve high efficiency and high precision of retrieval. Due to the high-level semantic information of the video to understand subjective, different backgrounds could not for the same video semantic understanding, standardized method of semantic description of the video. Technical solutions using MPEG-7 multimedia description schemes, semantic annotation of video, distributed full-text indexing and search engine technology to retrieve, build a support semantic video retrieval system - language searching (Xunet), the system support keyword query, the semantic graph inquiries and natural statement queries, when the user submits the statement contains semantic information or semantic graph language search system can be quickly retrieved to meet user demand for video and video clips, and provide online on-demand service. The system is a combination of natural language processing technology, the search engine technology and distributed systems technology. Complete support semantic video retrieval system - language searching (Xunet), development and testing, and on-line services provided, the system can provide support semantic query, the realization of the system to provide a new support semantic search.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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