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In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2006 video retrieval benchmark. This year, focus of the system improvement was on ensemble learning and fusion for both high-level feature detection task and the search task.
This paper presents a cross-layer model— formulated using interoperable description formats—for the adaptation of scalable H.264/MPEG-4 AVC (i.e., SVC) content in a video streaming system operating on a Wireless LAN access network without QoS mechanisms. SVC content adaptation on the server takes place on the application layer using an adaptation process… (More)
In this demo we present a novel approach for (a) automatic labeling and grouping of multimedia content using existing metadata and semantic concepts, and (b) interactive context driven tagging of clusters of multimedia content. Proposed system leverages existing metadata info in conjunction with automatically assigned semantic descriptors. One of the… (More)