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An Architecture for Mining Resources Complementary to Audio-Visual Streams
Citation key 1123Nemrava2007
Author J. Nemrava and P. Buitelaar and N. Simou and D. Sadlier and V. Svatek and T. Declerck and A. Cobet and T. Sikora and N. O'Connor and V. Tzouvaras and H. Zeiner and J. Petrak
Title of Book International Workshop on Knowledge Acquisition from Multimedia Content (KAMC '07)
Year 2007
Month dec
Abstract In this paper we attempt to characterize resources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video detectors and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video.We introduce an architecture for complementary resource analysis and discuss domain dependency aspects of this approach related to our domain of soccer broadcasts.
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