One important area of Multimedia Information Retrieval is Image Retrieval. Outlining the necessity for effective and efficient Image Retrieval methods, this paper benchmarks and evaluates qualitative three exemplary systems, namely Google Image search, ALIPR and IBM ́s QBIC. The conclusions include a summary of the benefits and challenges of content-based Image Retrieval and present the future w...

3) Learning Objectives At the end of the module, student will be able to 1) Explain the basics of Image Retrieval and its needs in digital libraries. 2) Explain the different Image Retrieval types. 3) Classify Content Based Image Retrieval based on various features and differentiate between the techniques being used. 4) Explain the various Image Retrieval systems in existence and evaluation str...

With the popularity of the network and development of multimedia technology, the traditional information retrieval techniques do not meet the users’ demand. Recently, the content-based image retrieval has become the hot topic and the techniques of content-based image retrieval have been achieved great development. In this paper, the basic components like color, texture, shape and semantic image...

In current technology the acquisition, transmission, storing, and manipulation are allowed on the large collections of images. With the increase in popularity of the network and development of multimedia technologies, users are not satisfied with the traditional information retrieval techniques. So nowadays, the content based image retrieval is becoming a source of exact and fast retrieval. Con...

The digital image data is rapidly expanding in quantity and heterogeneity. The traditional information retrieval techniques does not meet the user’s demand, so there is need to develop an efficient system for content based image retrieval. The content based image retrieval are becoming a source of exact and fast retrieval. In this paper the techniques of content based image retrieval are discus...

In this paper, we propose a novel method for cross-media semantic-based information retrieval, which combines classical textbased and content-based image retrieval techniques. This semantic-based approach aims at determining the strong relationships between keywords (in the caption) and types of visual features associated with its typical images. These relationships are then used to retrieve im...

Image Retrieval system is an effective and efficient tool for managing large image databases. A content based image retrieval system allows the user to present a query image in order to retrieve images stored in the database according to their similarity to the query image. In this paper content based image retrieval method is used on digital image data set. The main objective of this paper is ...

In modern days the increasing social networking mediums with digital images are uploaded day by day. Image Retrieval using image content is the interesting field in digital image processing improves pictorial information for human interpretation and processing of image data for storage, transmission, and representation for machine perception. Content-Based Image Retrieval (CBIR) and querying ac...