Abstract
In Internet, Multimedia and Image Databases image searching is a necessity. Content-Based Image Retrieval (CBIR) is an approach for image retrieval. With User interaction included in CBIR with Relevance Feedback (RF) techniques, the results are obtained by giving more number of iterative feedbacks for large databases is not an efficient method for real- time applications. So, we propose a new approach which converges rapidly and can aptly be called as Navigation Pattern-Based Relevance Feedback (NPRF) with User-based interaction mode. We combined NPRF with RF techniques with three concepts viz., query Re-weighting (QR), Query Expansion (QEX) and Query Point Movement (QPM). By using, these three techniques efficient results are obtained by giving a small number of feedbacks. The efficiency of the proposed method with results is proved by calculating Precision, Recall and Evaluation measures.
Highlights
The popularity of an image retrieval system plays an important role in it’s usage and application which, in turn is dependent on it’s implementation
Current interfaces of Content-Based Image Retrieval (CBIR) system describes an alternative interface based on a study of how home users use traditional ways of storing and organizing personal photo collections, but leveraging new possibilities enabled by digital media is not attempted
Query Re-weighting: In query reweighting if the ith feature fi exists in positive examples frequently, the system assigns a high degree to fi .query Re-weighting (QR) like approaches proposed by the Rui et al [6] which convert image feature vectors to weighted feature vectors in early version of Multimedia Analysis and Retrieval System (MARS)
Summary
The popularity of an image retrieval system plays an important role in it’s usage and application which, in turn is dependent on it’s implementation. CBIR is based on navigating an image collection of size 35,000 along conceptual dimensions that describes images in the collection is a very much useful method It can be used for intelligent image retrieval and browsing using semantic web-based techniques. The problem occurred in this is extracted visual features are too diverse to be captured with the concept of query given by user To, solve such problem in QBE system, user need to provide feedback like pick relevant images from retrieval of images iteratively, the feedback procedure is called Relevance Feedback (RF). To solve problems we propose an approach called Navigation-Pattern-Based Relevance Feedback (NPRF) which www.ijacsa.thesai.org (IJACSA) International Journal of Advanced Computer Science and Applications, Vol 4, No 8, 2013 is used to get efficient image retrieval quality with user interaction.
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