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Author Moënne-Loccoz, Nicolas ♦ Janvier, Bruno ♦ Marchand-Maillet, Stéphane ♦ Bruno, Eric
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 Content-based Multimedia Retrieval ♦ Overwhelming Volume ♦ Video Document Retrieval ♦ Various Level ♦ Several Possibility ♦ Multimedia Retrieval ♦ Rapid Interface Prototyping ♦ Cient Content Modeling ♦ Active Part ♦ Video Collection ♦ Temporal Data ♦ Video Document ♦ Trec Video Track ♦ Fast Access
Description Video document retrieval is now an active part of the domain of multimedia retrieval. However, unlike for other media, the management of a collection of video documents adds the problem of e#ciently handling an overwhelming volume of temporal data. Challenges include balancing e#cient content modeling and storage against fast access at various levels. In this paper, we detail the framework we have built to accommodate our developments in content-based multimedia retrieval. We show that not only our framework facilitates the developments of processing and indexing algorithms but it also opens the way to several other possibilities such as rapid interface prototyping or retrieval algorithms benchmarking. In this respect, we discuss our developments in relation to wider contexts such as MPEG-7 and the TREC Video Track.
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 2004-01-01
Publisher Institution In Proceedings of the First Workshop on Computer Vision Meets Databases CVDB’04