Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015
A Survey on Multimodal Visual Search Methods
Seema Ranuji Ghule
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
How to Cite this Article?
Seema Ranuji Ghule, "A Survey on Multimodal Visual Search Methods", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB159128, Volume 4 Issue 10, October 2015, 1731 - 1734
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