Издательство Idea Group, 2004, -472 pp.Multimedia systems and content-based image retrieval are very important areas of research in computer technology. Plenty of research works are being done in these fields at present. These two areas are changing our life-styles because they together cover creation, maintenance, accessing and retrieval of video, audio, image, textual and graphic data. But still lots of important issues in these areas remain unresolved and further research works are needed to be done for better techniques and applications. The primary objective of this book is to combine these two areas of research together as one is related to the other and provide an up-to-date account of the works being done. We addressed research issues in these fields where some progresses have been made already. Also we encouraged researchers, academics and industrial technologists to provide new and brilliant ideas on these fields which could be pursued for further research. Content-based image retrieval (CBIR) is a bottleneck of the multimedia systems. Although attempts have been made to perform CBIR on an efficient basis based on shape, color, texture and spatial relations, it has yet to attain maturity. A major problem in this area is computer perception. It is very difficult to make a computer think like a human being to sense what the image or object within the image is. In other words, there remains a big gap between low-level features like shape, color, texture and spatial relations and high-level features like table, chair, car, etc. This means to find the semantic meanings out of an image are still very difficult. Only to some extent, success has been achieved and only in certain categories of images. No universally accepted software package is available to find semantic or high-level meanings out of an object. Another issue in this area of research is image segmentation. This is also a problem of computer perception. Plenty of research is being done to have meaningful and thorough image segmentation based on color, texture, and shape. Only limited success is achieved in certain specific types of image while no universally accepted software package is available for any kind of image. We addressed these two issues in Section III and IV. Issues related to video shot transitions and video content-based retrieval techniques are also covered in Section III and IV. Section I of the book is the introduction. We have given a general introduction of the two areas, namely, multimedia systems and content-based image retrieval, from the very elementary level. We discussed the problems in these areas and some of the works done in the field of content-based image retrieval since the beginning of last decade of the last century. Section II covers research works done in multimedia structures and security. Digital watermarking techniques are applied for content protection of multimedia data. It is a relatively new field of research. New solutions are provided for music sheets to overcome the drawbacks of raster-oriented watermarking algorithms for images, which is applied for music sheets. Also, this section covers face recognition technology with an emphasis on facial scan or face recognition and a Chinese duplicate image retrieval system. In Section V, we present the research works to provide home users with effective and efficient tools to organize and access large digital images and video albums. We introduce new concepts of emergence index in image retrieval where we consider hidden or implicit meanings of an image in addition to explicit meaning for indexing purposes. Section VI deals with various content-based image retrieval techniques and Section VII talks about user interfaces. The area of user interfaces is also a very important area of research in multimedia systems as it is the medium between the system and the end user. Successful content-based image retrieval is not possible without proper user interface through which the search process begins. We provided a state-of-the-art review of research on user interface including researches on face animation. The audience for this book would be researchers who are working in these two fields. Also, researchers from other areas who could start-up in these fields could find the book useful. It could be a reference guide for researchers from other related areas. Reading this book can also benefit undergraduate and post-graduate students, who are interested in multimedia technology.Section I - An Introduction to Multimedia Systems and Content-Based Image Retrieval Multimedia Systems and Content-Based Image Retrieval Section II - Multimedia Structures and Security A Duplicate Chinese Document Image Retrieval System Based on Line Segment Feature in Character Image Block Technology of Music Score Watermarking Face Recognition Technology—A Biometric Solution to Security Problems Section III - Multimedia Access and Feature Extraction Techniques Histogram Generation from the HSV Color Space Using Saturation Projection Video Content-Based Retrieval Techniques Section IV - Multimedia Content Analyses Object-Based Techniques for Image Retrieval Object-Based Video Analysis and Interpretation Section V - Multimedia Indexing Techniques Advances in Digital Home Photo Albums Algorithm for the Retrieval of Image with Emergence Index in Multimedia Section VI - Content-Based And Semantic Search and Retrieval Methods An Efficient Content-Based Retrieval System for Large Image Database A Spatial Relationship Method Supports Image Indexing and Similarity Retrieval A Stochastic Content-Based Image Retrieval Mechanism Section VII - Dynamic User Interface Mind the Gap—Content-Based Image Retrieval and the User Interface Face Animation—A Case Study for Multimedia Modeling and Specification Languages
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