Survey on Content Based Image Retreival System and Gap Analysis for Visual Art Image Retreival System
نویسندگان
چکیده
Content Based image Retrieval (CBIR) system is one of the prominent area of study identified with wide area of applications in recognition system. The main purpose of the study is to review and analyze all the prime works in CBIR system, its efficiency in recognition rate and understand the types of challenges focused by prior research work in this area. The prime outcome of the result in this area is analyzed to identify the work done considering visual art images as we believe the work is considerable small in number owing to the complexities of visual art images. Finally, the paper will also discuss about the research issues addressing to visual art images. Keywords-component; content based image retrieval, image retrieval, similarity measures, visual art images.
منابع مشابه
Retreival of Content Based Histology Images Using Multifeature Fusion Model
Content Based Image Retrieval plays a major role in medical activities, education field and in research areas. Feature combination plays a significant role in Content Based Image Retrieval. The aim of this system is to obtain the most representative fusion model for a particular keyword that is associated with multiple query images by automatically combining heterogeneous visual features. The c...
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 کاملبازیابی 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 کامل- Based Image Retrieval : Plant Species Identification
With rapid increase in the number and size of image databases, there has been intensified interest in automated management and retrieval of digital images. In this work we develop a technique for automatic classification of digitized images of plant leaves. The inducement behind this work is to contribute to research in the field of computer vision and content-based image retrieval. The algorit...
متن کاملImplementation of VlSI Based Image Compression Approach on Reconfigurable Computing System - A Survey
Image data require huge amounts of disk space and large bandwidths for transmission. Hence, imagecompression is necessary to reduce the amount of data required to represent a digital image. Thereforean efficient technique for image compression is highly pushed to demand. Although, lots of compressiontechniques are available, but the technique which is faster, memory efficient and simple, surely...
متن کامل