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
Related Articles
- EP ID EP159606
- DOI -
- Views 89
- Downloads 0
A Hybrid Approach for Performance Enhancement of VANETusing CSMA-MACA: a Review
Abstract: A wireless sensor network (WSNs) have increased gigantic consideration for their extensive varietyof utilization, for example, environmental checking, military consideration, medical services, fiascoadmin...
The Native Java Programming Language has suffered a Continuing Series of Vulnerabilities during the Past Two or More Years that Threaten to Destabilize Our Internet Technology.
The native Java Programming Language whose importance to the internet cannot be over emphasised, has suffered series of vulnerabilities that threaten to destabilize the Internet Technology. Most of the vulnerabil...
Creating a Vehicle Proportion, Form, and Color Matching Model
Abstract: Product design in the manufacturing industry is one of the most critical elements influencing consumer purchase behavior. As consumer values become increasingly diverse, design is becoming animportant element...
Review of Ensemble Based Classification Algorithms for Nonstationary and Imbalanced Data
Learning data samples from a non-stationary distribution has been shown to be a very challenging problem in machine learning, because the joint probability distribution between the data and classes changes over time. Mos...
Adaptive Shared Channel Assignment Scheme for CellularNetwork to Improve the Quality of the Handoff Calls
Abstract: In this paper, an adaptive channel assignment scheme is proposed to ensure the quality of servicesfor the wireless networks. The proposed scheme divides the channels into two categories, the guard channel...