A Review of Benchmarking Content Based Image Retrieval
نویسندگان
چکیده
Benchmarking Content Based Image Retrieval (CBIR) systems allows researchers and developers to compare the strengths of different approaches, and is an essential step towards establishing the credibility of CBIR systems for commercial applications. Here we introduce the problem of developing a benchmark, discuss some of the issues involved, and provide a review of current and recent benchmarking efforts. We also propose a solution to one of the key stumbling blocks hampering benchmarking campaigns to date: the availability of large royalty free test databases.
منابع مشابه
تأملاتی بر نمایه سازی تصاویر: یک تصویر ارزشی برابر با هزار واژه
Purpose: This paper presents various image indexing techniques and discusses their advantages and limitations. Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique. Findings: Concept-based image indexing is te...
متن کاملPerformance Evaluation of Medical Image Retrieval Systems Based on a Systematic Review of the Current Literature
Background and Aim: Image, as a kind of information vehicle which can convey a large volume of information, is important especially in medicine field. Existence of different attributes of image features and various search algorithms in medical image retrieval systems and lack of an authority to evaluate the quality of retrieval systems, make a systematic review in medical image retrieval system...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملContent Based Radiographic Images Indexing and Retrieval Using Pattern Orientation Histogram
Introduction: Content Based Image Retrieval (CBIR) is a method of image searching and retrieval in a database. In medical applications, CBIR is a tool used by physicians to compare the previous and current medical images associated with patients pathological conditions. As the volume of pictorial information stored in medical image databases is in progress, efficient image indexing and retri...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کامل