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This article explores various key contributions to the enhancement of multimedia databases through efficient indexing and retrieval methodologies. It highlights algorithms such as WALRUS for similarity retrieval in image databases, and discusses relevance feedback techniques in image retrieval. Additionally, it reviews indexing strategies for high-dimensional metric spaces and the MPEG-7 standard, emphasizing their implications for multimedia systems. The synthesis of these findings provides a comprehensive overview of the state-of-the-art in multimedia indexing and retrieval approaches beneficial for researchers and practitioners.
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Список статей • Böhm et al. Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases. ACM Computing Surveys, 2001 • Chávez et al. Searching in metric spaces. ACM Computing Surveys, 2001 • Natsev et al. WALRUS: a similarity retrieval algorithm for image databases. IEEE Trans. onKnowledge and Data Engineering, 2004 • Zhou et al. Relevance feedback in image retrieval: A comprehensive review. Multimedia Systems, 2003 • Hsu et al. Face detection in color images. IEEE Trans. onPattern Analysis and Machine Intelligence, 2002 • Kahveci et al. An efficient index structure for string databases. Proc. of VLDB, 2001 • Snoek et al. Multimodal Video Indexing: A Review of the State-of-the-art. Multimedia Tools and Applications, 2005 • Lu et al. Content-based audio classification and segmentation by using support vector machines. Multimedia Systems, 2003 • Chang et al. Overview of the MPEG-7 standard. IEEE Trans. onCircuits and Systems for Video Technology, 2001 • Schmuck et al. GPFS: A Shared-Disk File System for Large Computing Clusters. Proc. of the 1st USENIX Conference on File and Storage Technologies, 2002 • Или другие статьи на темы, затрагиваемые в данном курсе (их можно найти, например, в вышеподчеркнутых журналах/конференциях)