Recent Trends on Content Based Image Retrieval System- An Overview
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: The Content-Based Image Retrieval (CBIR) techniques comprise methodologies intended to retrieve self-content descriptors over the image data set being studied according to the type of the image. The mainpurpose of CBIR consists in classifying images avoiding the use of manual labels related to understanding of the image by the human being vision. This paper provides an overview on Recent Trends of CBIR includes the Relevance Feedback (RF), Interactive Genetic Algorithm , Neural Network etc.. Relevance Feedback enhances the ability of CBIR effectively by dropping the semantic gap between low-level features and high level features.Interactive Genetic Algorithm is a branch of evolutionary computation which makes the retrieval process more interactive so that user can get advanced results from database matching to Query Image with his evaluation. Neuro-fuzzy logic based implicit feedback gets improved results as compared to traditional implicit feedback.
Authors and Affiliations
Rajsheel Sharma , Prof. Ratnesh Dubey , Dr. Vineet Richariya
Keywords
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