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anaChangTR002

Ana B. Benitez, Shih-Fu Chang. Semantic Knowledge Construction from Annotated Image Collections. ADVENT Technical Report #002, 2002 Columbia University, August 2002.

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Abstract

This paper presents new methods for extracting semantic knowledge from collections of annotated images. The proposed methods include novel automatic techniques for extracting semantic concepts by disambiguating the senses of words in the annotations using the lexical database WordNet, and both the images and their annotations, and for discovering semantic relations among the detected concepts based on WordNet. Another contribution of this paper is the evaluation of several techniques for visual feature descriptor extraction and data clustering in the extraction of semantic concepts. Experiments show the potential of integrating the analysis of both images and annotations for improving the performance of the word-sense disambiguation process. In particular, the accuracy improves 4-15% with respect to the baselines systems for nature images

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Ana_B. Benitez
Shih-Fu Chang

BibTex Reference

@TechReport{anaChangTR002,
   Author = {Benitez, Ana B. and Chang, Shih-Fu},
   Title = {Semantic       Knowledge Construction from Annotated Image Collections},
   Institution = {Columbia University},
   Month = {August},
   Year = {2002}
}

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