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Key Technologies of WEB Media Resources Intelligent Discovery

Author: LiRuiZuo
Tutor: YeYunMing
School: Harbin Institute of Technology
Course: Computer Science and Technology
Keywords: Web video resources Feature selection Characterized Knowledge Base Incremental learning
CLC: TP393.092
Type: Master's thesis
Year: 2010
Downloads: 32
Quote: 0
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Abstract


The rapid development of information technology , in particular the substantial increase in the popularity of Web 2.0 user engagement , users not only can enjoy online video, you can also become a provider of network video resources , Internet video resources increased dramatically , the search of the Web video resources and monitoring become an urgent problem . Around how fast and accurate in the actual network environment , full- search needs of video resources , on the basis of in -depth study of reptiles works proposed the suspected degree assessment model based on dynamic Web video resource library of video resources characteristics , design online incremental learning algorithm to dynamically adjust the characteristics and rich video resources Knowledge Base . Then through continuous optimization and improvement , which greatly enhance the efficiency of the system , and ultimately achieve practical application of performance . The main results of this paper can be summarized as the following aspects : (1) conduct in-depth research and distribution of video of the actual network resources characteristics , known through the analysis of Web video programs feature extraction which can be used to assess a page video programming suspected of representation model feature clues , and design features , eventually forming a web video feature knowledge base library . (2 ) on the basis of in-depth study of reptiles technology , drawing on the theme reptile design ideas , combined with static crawling model of video resources found on the Web , the video -based online incremental learning resource discovery model and design with the better performance of Web video found to improve the model , and based on this model , a discovery algorithm based on incremental learning video resources . ( 3) examine the actual performance and tuning , for the proposed video resource discovery model , designed a large number of configuration parameters can be controlled , and through research, experimental comparison , given the range of parameters can be used in practice . (4 ) Based on the above results of theoretical studies , the design of a specific the video resource discovery system architecture and module process , the formation of a high-performance Web video can only be found in the detailed design of the system , and eventually achieve a practical application of systems.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > Web browser
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