Intelligent multimedia data: data + indices + inference |
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Authors: | P Senthil Kumar G Phanendra Babu |
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Affiliation: | (1) Real World Computing Partnership, Novel Function ISS Laboratory, Institute of Systems Science, National University of Singapore, Kent Ridge, Singapore 119597; e-mail: psenthil@krdl.org.sg, babu@tdiinc.com , SG |
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Abstract: | In this paper, we present a novel approach for multimedia data indexing and retrieval that is machine independent and highly
flexible for sharing multimedia data across applications. Traditional multimedia data indexing and retrieval problems have
been attacked using the central data server as the main focus, and most of the indexing and query-processing for retrieval
are highly application dependent. This precludes the use of created indices and query processing mechanisms for multimedia
data which, in general, have a wide variety of uses across applications. The approach proposed in this paper addresses three
issues: 1. multimedia data indexing; 2. inference or query processing; and 3. combining indices and inference or query mechanism
with the data to facilitate machine independence in retrieval and query processing. We emphasize the third issue, as typically
multimedia data are huge in size and requires intra-data indexing. We describe how the proposed approach addresses various
problems faced by the application developers in indexing and retrieval of multimedia data. Finally, we present two applications
developed based on the proposed approach: video indexing; and video content authorization for presentation. |
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Keywords: | :Multimedia data – Indexing – Retrieval and query processing |
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