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  1. Proceedings of the 1st ACM international workshop on Multimedia databases (MMDB '03)
  2. Video query processing in the VDBMS testbed for video database research
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The CPR model for summarizing video
Facilitate knowledge communications
Content based sub-image retrieval via hierarchical tree matching
Mining spatio-temporal patterns and knowledge structures in multimedia collection
Automatic generation of MPEG-7 compliant XML document for motion trajectory descriptor in sports video
Scheduling methods for broadcasting multiple continuous media data
Robust content-based image searches for copyright protection
Constructing a bowling information system with video content analysis
Kernel VA-files for relevance feedback retrieva
Image database retrieval utilizing affinity relationships
Video query processing in the VDBMS testbed for video database research
Bitmap indexing method for complex similarity queries with relevance feedback
Improving image retrieval effectiveness via multiple queries

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Video query processing in the VDBMS testbed for video database research

Content Provider ACM Digital Library
Author Elmagarmid, Ahmed Catlin, Ann Christine Ilyas, Ihab Ghanem, Thanaa Hammad, Moustafa Aref, Walid Marzouk, Mirette
Abstract The increased use of video data sets for multimedia-based applications has created a demand for strong video database support, including efficient methods for handling the content-based query and retrieval of video data. Video query processing presents significant research challenges, mainly associated with the size, complexity and unstructured nature of video data. A video query processor must support video operations for search by content and streaming, new query types, and the incorporation of video methods and operators in generating, optimizing and executing query plans. In this paper, we address these query processing issues in two contexts, first as applied to the video data type and then as applied to the stream data type. We first present the query processing functionality of the VDBMS video database management system as a framework designed to support the full range of functionality for video as an abstract data type. We describe two query operators for the video data type which implement the rank-join and stop-after algorithms. As videos may be considered streams of consecutive image frames, video query processing can be expressed as continuous queries over video data streams. The stream data type was therefore introduced into the VDBMS system, and system functionality was extended to support general data streams. From this viewpoint, we present an approach for defining and processing streams, including video, through the query execution engine. We describe the implementation of several algorithms for video query processing expressed as continuous queries over video streams, such as fast forward, region-based blurring and left outer join. We include a description of the window-join algorithm as a core operator for continuous query systems, and discuss shared execution as an optimization approach for stream query processing.
Starting Page 25
Ending Page 32
Page Count 8
File Format PDF
ISBN 1581137265
DOI 10.1145/951676.951682
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2003-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Query processing Stream processing Rank-join algorithm Continuous query Video database Window-join algorithm
Content Type Text
Resource Type Article
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