Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Web search engine multimedia functionality
Information Processing and Management: an International Journal
Monitoring the status of a research community through a Knowledge Map
Web Intelligence and Agent Systems
Automatic index construction for multimedia digital libraries
Information Processing and Management: an International Journal
Multimedia search capabilities of Chinese language search engines
Information Processing and Management: an International Journal
FaericWorld: browsing multimedia events through static documents and links
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
The effect of specialized multimedia collections on web searching
Journal of Web Engineering
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The proliferation of multimedia on the World Wide Web has led to the introduction of Web search engines for images, video, and audio. On the Web, multimedia is typically embedded within documents that provide a wealth of indexing information. Harsh computational constraints imposed by the economics of advertising-supported searches restrict the complexity of analysis that can be performed at query time. And users may be unwilling to do much more than type a keyword or two to input a query. Therefore, the primary sources of information for indexing multimedia documents are text cues extracted from HTML pages and multimedia document headers. Off-line analysis of the content of multimedia documents can be successfully employed in Web search engines when combined with these other information sources. Content analysis can be used to categorize and summarize multimedia, in addition to providing cues for finding similar documents.