Survey of Relevance Feedback methods in Content Based Image Retrieval
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2010, Vol 1, Issue 2
Abstract
In content Based Image Retrieval, images are retrieved based on color, texture and shape (low level perception). There is a gap between user semantics (high level perception) and low level perception. Relevance feedback (RF) learns association between high level semantics and low level features. Bayesian method, nearest neighbor search method, Log based RF, Support Vector Machine (SVM) is methods of Relevance Feedback. Bayesian method is good for understand but it is not worked for fast access. In nearest neighbor search method, data are compressed. So some times images may be lost its features. Log based method are used soft label using SVM. SVM is best method for RF because it works on structure risk minimization by VC dimensions.
Authors and Affiliations
Darshana Mistry
An Efficient Baugh-WooleyArchitecture forBothSigned & Unsigned Multiplication
This project presents an efficient implementation of a high speed multiplier using the shift and adds method of Baugh-Wooley Multiplier. This parallel multiplier useslesser adders and lesser iterative steps. As a result...
A Symmetric FHE Scheme Based on Linear Algebra
FHE is considered to be Holy Grail of cloud computing. Many applications of cloud computing inherently need symmetric keys while very few FHE schemes have been proposed with symmetric keys. Even with the schemes based on...
Web Content Filtering Techniques: A Survey
For many, accessing the Internet is a mixed blessing; in worst case, it can create serious problems. Web Content Filtering is a firewall to block certain sites from being accessed. Content filtering and the products that...
An Integrated Approach for Mining Closed Sequential Patterns
Sequential pattern mining has been a well studied area in data mining for over a decade. Yet researchers are still uncovering interesting problems, new algorithms and ways to improve upon existing methods. To efficiently...
A Comparative Study on ATM Security with Multimodal Biometric System
Security is a major issue in Automated Teller Machine (ATM).with the wide spread utilization of electronic transactions it is necessary to increase customers recognition accuracy. Biometric systems can offer convenient a...