PERFORMANCE OF CONTENT BASED IMAGE RETRIEVAL USING LOCAL BINARY PATTERN AND COLOR MOMENTS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 7
Abstract
Content-based image retrieval (CBIR), ), otherwise called as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of Computer vision to the picture recovery issue, that is, the issue of hunting down advanced pictures in substantial databases. “Content-based” implies that the pursuit will dissect the real substance of the image. The expression "content" in this setting may allude colors, shapes, textures, or whatever other data that can be gotten from the picture itself. Without the capacity to inspect picture content, seeks must depend on metadata, for example, subtitles or watchwords. Such metadata must be created by a human and put away nearby every picture in the database. Issues with customary systems have prompted the ascent of enthusiasm for methods for recovering pictures on the premise of naturally inferred elements, for example, shading, surface and shape – an innovation now by and large alluded to as Content-Based Image Retrieval (CBIR).The ideas which are instantly utilized for CBIR framework are all under exploration research.
Authors and Affiliations
Hitesh Singh*,
Keywords
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