The Community for Technology Leaders
Conference, International Asia-Pacific Web (2010)
Buscan, Korea
Apr. 6, 2010 to Apr. 8, 2010
ISBN: 978-0-7695-4012-2
pp: 453-458
Video has become popular in our daily life for both professional and consumer applications. Both low level video processing and high level semantic video analysis are critically computational tasks in application domains. Most of current video computing tools are developed for specific analytic tasks, they are lack higher level interoperability with database and treat database merely as a relational data storage engine rather than an analytic platform, which causes inefficient data access and massive amount of data movement. In this paper, we study how to support video data management over relational database, and present our initial solutions of video data storage mechanism, video data access method and efficient video analytics. We also illustrate our ongoing prototype system HybVideo that developed in a novel architecture. It integrates above solutions to tackle the major challenges of providing a platform for both storage and analysis of video data.
Video management, Relational database, Video access, Video analytics

X. Zhang, H. Li, S. Wang and X. Du, "Towards Video Management over Relational Database," Conference, International Asia-Pacific Web(APWEB), Buscan, Korea, 2010, pp. 453-458.
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