International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015


A Survey on Multimodal Visual Search Methods

Seema Ranuji Ghule


Abstract: Multimodal visual search play vital role in image processing and computer vision. The Visual Search system has input in the form of s or visual images and provides information regarding destinations, artworks, books, wine, branded things, products catalogs, etc. Visual search support features like color, texture and shape. Feature extraction is a important step in multimodal visual search. In this paper different multimodal visual search methods are studied. This paper attempts to provide a comprehensive review of multimodal visual search methods like text based search, image based search and speech based search.


Keywords: Multimodal visual search, Color histogram


Edition: Volume 4 Issue 10, October 2015,


Pages: 1731 - 1734


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How to Cite this Article?

Seema Ranuji Ghule, "A Survey on Multimodal Visual Search Methods", International Journal of Science and Research (IJSR), Volume 4 Issue 10, October 2015, pp. 1731-1734, https://www.ijsr.net/get_abstract.php?paper_id=SUB159128

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