Image Retrieval: Techniques, Challenge, and Trend
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33092
Image Retrieval: Techniques, Challenge, and Trend

Authors: Hui Hui Wang, Dzulkifli Mohamad, N.A Ismail

Abstract:

This paper attempts to discuss the evolution of the retrieval techniques focusing on development, challenges and trends of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval. However, Image retrieval researches are moving from keyword, to low level features and to semantic features. Drive towards semantic features is due to the problem of the keywords which can be very subjective and time consuming while low level features cannot always describe high level concepts in the users- mind.

Keywords: content based image retrieval, keyword based imageretrieval, semantic gap, semantic image retrieval.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1062632

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2522

References:


[1] A. Rosenfeld. Picture processing by computer. ACM Computing Surveys, 1(3):147{176, 1969.
[2] H. Tamura and S. Mori. A data management system for manipulating large images. In Proceedings of Workshop on Picture Data Description and Management, pages 45{54, Chicago, Illinois, USA, April 1977
[3] Yong Rui and Thomas S. Huang (1999) Image Retrieval: Current Techniques, Promising Directions, and Open Issues. Journal of Visual Communication and Image Representation 10, 39-62 (1999)
[4] R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: Ideas, inuences, and trends of the new age. In ACM Computing Surveys, 2008Letter Symbols for Quantities, ANSI Standard Y10.5-1968.
[5] M. Worring and G. Schreiber. Semantic image and video indexing in broad domains. IEEE Transactions on Multimedia, 9(5):909{911, August 2007
[6] Shneiderman B and Kang H (2000) Direct Annotation: A Drag-and- Drop Strategy for Labeling Photos. In: Proc. International Conference Information Visualisation (IV2000). London, England.