KEYWORD AND IMAGE CONTENT FEATURES FOR IMAGE INDEXING AND RETRIEVAL WITHIN COMPRESSED DOMAIN

Authors

  • Irianto . Department of Informatics, Darmajaya Informatics and Business Institute, Jalan Z.A Pagar Alam 93, Bandar Lampung, Lampung
  • Y. Suhendro Department of Informatics, Darmajaya Informatics and Business Institute, Jalan Z.A Pagar Alam 93, Bandar Lampung, Lampung

:

https://doi.org/10.9744/informatika.10.2.73-78

Keywords:

CBIR, high level, low level features, recall, precision.

Abstract

The central problem of most Content Based Image Retrieval approaches is poor quality in terms of sensitivity (recall) and specificity (precision). To overcome this problem, the semantic gap between high-level concepts and low-level features has been acknowledged. In this paper we introduce an approach to reduce the impact of the semantic gap by integrating high-level (semantic) and low-level features to improve the quality of Image Retrieval queries. Our experiments have been carried out by applying two hierarchical procedures. The first approach is called keyword-content, and the second content-keyword. Our proposed approaches show better results compared to a single method (keyword or content based) in term of recall and precision. The average precision has increased by up to 50%.

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Published

2011-10-01

How to Cite

., I., & Suhendro, Y. (2011). KEYWORD AND IMAGE CONTENT FEATURES FOR IMAGE INDEXING AND RETRIEVAL WITHIN COMPRESSED DOMAIN. Jurnal Informatika, 10(2), 73-78. https://doi.org/10.9744/informatika.10.2.73-78

Issue

Vol. 10 No. 2 (2009): NOVEMBER 2009

Section

Articles

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