A Comprehensive Review of Recent Relevance Feedback Techniques in CBIR
نویسنده
چکیده
Accuracy enhancement of Content Based Image Retrieval System as well as reduction in semantic gap can be efficiently achieved with the help of Relevance Feedback. Many schemes and techniques of relevance feedback exist with many assumptions and operating criteria. In this paper, we have given a brief overview of recent techniques used for implementing relevance feedback in CBIR. This paper also discusses some of the key issues involved in the adaptation of existing image retrieval techniques to build useful systems that can handle real-world data as well as the advantages of each technique.
منابع مشابه
بازیابی تعاملی تصاویر طبیعت با بهره گیری از یادگیری چند نمونه ای
Content-based image retrieval (CBIR) has received considerable research interest in the recent years. The basic problem in CBIR is the semantic gap between the high-level image semantics and the low-level image features. Region-based image retrieval and learning from user interaction through relevance feedback are two main approaches to solving this problem. Recently, the research in integra...
متن کاملComprehensive Analysis of Some Recent Competitive Cbir Techniques
In today’s real life applications complexity of multimedia contents is significantly increased. This is highly demanding the development of effective retrieval systems to satisfy human desires. Recently, extensive research efforts have been carried out in the field of content-based image retrieval (CBIR). These research efforts are based on various parameters; feature extraction (to find conten...
متن کاملReview of Content Based Image Retrieval Systems
Content based image Retrieval (CBIR) has been an active research field since the past two decades. In contrast to a traditional system, in which the images are retrieved based on the keywords, CBIR system retrieves the images based on the visual content. In this paper, we start with the introduction to a simple CBIR system and proceed to review few of the techniques used to develop CBIR system....
متن کاملImage Retrieval Relevance Feedback algorithms: Trends and Techniques
With many applications, Content based Image Retrieval (CBIR) has come into the attention in recent decades. To reduce the schematic gap a wide variety of relevance feedback (RF) algorithms have been developed in recent years to improve the performance of CBIR systems. These RF algorithms capture user’s preferences and bridge the semantic gap. Many schemes and techniques of relevance feedback ex...
متن کاملAn Adaptive Approach to Relevance Feedback in CBIR Using Mining Techniques
ISBN 978-93-82338-22-2 | © 2012 Bonfring Abstract--This paper provides a mining approach to the research area of relevance feedback (RF) in contentbased image retrieval (CBIR). Relevance feedback is a powerful technique in CBIR systems, in order to improve the performance of CBIR effectively. The drawbacks in CBIR are the features of the query image and the semantic gap between low-level featur...
متن کامل