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http://dx.doi.org/10.9717/kmms.2016.19.9.1679

Design and Implementation of Video Search System robust to Brightness and Rotation Changes Based on Ferns Algorithm  

Yoon, Seok-Hwan (Department of Computer Sciences, Semyung University)
Shim, Jae-Sung (Department of IT Convergence Engineering, Gachon University)
Park, Seok-Cheon (Department of Computer Engineering, Gachon University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.9, 2016 , pp. 1679-1689 More about this Journal
Abstract
Recently, due to the rapid development of multimedia technologies, as image data has been extensive and large-scaled, the problem of increasing the time needed to retrieve the desired image is gradually critical. Image retrieval system that allows users to quickly and accurately search for the desired image information has been researched for a long time. However, in the case of content-based image retrieval representative Color Histogram, Color Coherence Vectors (CCV), Scale Invariant Feature Transform (SIFT) used in sensitive to changes in brightness, rotation, there is a problem that can occur misrecognized division off the power. In this paper, in order to evaluate the video retrieval system proposed, no change in brightness, respectively 0°, 90°, 180°, 270° rotated brightness up based on the case of changing, when the brightness down the results were compared with the performance evaluation of the system is an average of about 2% to provide the difference in performance due to changes in brightness, color histogram is an average of about 12.5%, CCV is an average of about 12.25%, it appeared in the SIFT is an average of about 8.5%, Thus, the proposed system of the variation width of the smallest in average about 2%, was confirmed to be robust to changes in the brightness and rotation than the existing systems.
Keywords
Ferns; Video Search System; Color Histogram; CCV; SIFT;
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Times Cited By KSCI : 10  (Citation Analysis)
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