Semantic representation of multimedia content: Knowledge representation and semantic indexing |
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Authors: | Phivos Mylonas Thanos Athanasiadis Manolis Wallace Yannis Avrithis Stefanos Kollias |
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Affiliation: | (1) School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 157 73 Zographou Campus, Athens, Greece;(2) Department of Computer Science, University of Indianapolis, Athens Campus, 9 Ipitou Str., 105 57, Athens, Greece |
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Abstract: | In this paper we present a framework for unified, personalized access to heterogeneous multimedia content in distributed repositories.
Focusing on semantic analysis of multimedia documents, metadata, user queries and user profiles, it contributes to the bridging
of the gap between the semantic nature of user queries and raw multimedia documents. The proposed approach utilizes as input
visual content analysis results, as well as analyzes and exploits associated textual annotation, in order to extract the underlying
semantics, construct a semantic index and classify documents to topics, based on a unified knowledge and semantics representation
model. It may then accept user queries, and, carrying out semantic interpretation and expansion, retrieve documents from the
index and rank them according to user preferences, similarly to text retrieval. All processes are based on a novel semantic
processing methodology, employing fuzzy algebra and principles of taxonomic knowledge representation. The first part of this
work presented in this paper deals with data and knowledge models, manipulation of multimedia content annotations and semantic
indexing, while the second part will continue on the use of the extracted semantic information for personalized retrieval.
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Keywords: | Multimedia content semantics extraction Semantic indexing Semantic classification |
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