publication . Article . 2007

Image Collection Organization and Its Application to Indexing, Browsing, Summarization, and Semantic Retrieval

Djemel Ziou; Mohammed Lamine Kherfi;
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  • Published: 01 Jun 2007 Journal: IEEE Transactions on Multimedia, volume 9, pages 893-900 (issn: 1520-9210, eissn: 1941-0077, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract
In this paper, we present a new framework for organizing image collections into structures that can be used for indexing, browsing, retrieval and summarization. Instead of using tree-based techniques which are not suitable for images, we develop a new solution that is specifically designed for image collections. We consider both low-level image content and high-level semantics in an attempt to alleviate the semantic gap encountered by many systems. The fact that our model is based on a probabilistic framework makes it possible to combine it in a natural way with probabilistic techniques developed recently for image retrieval. The structure our model generates is...
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free text keywords: Media Technology, Signal Processing, Electrical and Electronic Engineering, Computer Science Applications, Image retrieval, Information retrieval, Visual Word, Automatic image annotation, Automatic summarization, Probabilistic logic, Semantic gap, Relevance feedback, Computer science, Search engine indexing
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