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Author Chang, Shih-Fu ♦ Chen, William ♦ Sundaram, Hari
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Video Database ♦ Introduction Content-based Visual Query ♦ Past Year ♦ Spatiotemporal Attribute ♦ Photobook Pentland ♦ Visual Query ♦ Video Retrieval ♦ Automatic Object ♦ Digital Information ♦ Advanced Content ♦ Key Role ♦ Spatiotemporal Query ♦ Visualseek Smith ♦ Challenging Research Area ♦ Interactive System ♦ Virage Hamrapur ♦ Efficient Search ♦ Support Retrieval ♦ Image Retrieval ♦ System Videoq ♦ Qbic Flickner ♦ First On-line Video Search Engine ♦ Substantial Progress ♦ Cbvq Research ♦ Visual Paradigm
Description Proc. 4 th IEEE Workshop on Applications of Computer Vision
The rapidity with which digital information, particularly video, is being generated, has necessitated the development of tools for efficient search of these media. Content based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in video retrieval. The resulting system VideoQ, is the first on-line video search engine supporting automatic object based indexing and spatiotemporal queries. 1. Introduction Content-based visual queries (CBVQ) has emerged as a challenging research area in the past few years. While there has been substantial progress with the presence of systems such as QBIC [Flickner 1995], PhotoBook [Pentland 1996], Virage [Hamrapur 1997] and VisualSEEk [Smith 1996] most systems only support retrieval of still images. CBVQ research on video databases has not been fully explored yet. VideoQ is an advanced content...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1998-01-01