Download or read book Medical Image Indexing and Compression Based on Vector Quantization Image Retrieval Efficiency Evaluation written by and published by . This book was released on 2001 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper addresses the problem of efficient image retrieval from a compressed image database, using information derived from the compression process. Images in the database are compressed applying two approaches: Vector Quantization (VQ) and Quadtree image decomposition. Both are based on Konohen's Self-Organizing Feature Maps (SOFM) for creating vector quantization codebooks. However, while VQ uses one codebook of one resolution to compress the images, Quadtree decomposition uses simultaneously 4 codebooks of four different resolutions. Image indexing is implemented by generating a Feature Vector (FV) for each compressed image. Accordingly, images are retrieved by means of FVs similarity evaluation between the query image and the images in the database, depending on a distance measure. Three distance measures have been analyzed to assess FV index similarity: Euclidean, Intersection and Correlation distances. Distance measures efficiency retrieval is evaluated for different VQ resolutions and different Quadtree image descriptors. Experimental results using real data, esophageal ultrasound and eye angiography images, are presented.
Download or read book Integrated Region Based Image Retrieval written by James Z. Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem.
Download or read book M Health written by Robert Istepanian and published by Springer Science & Business Media. This book was released on 2007-01-04 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: M-health can be defined as the ‘emerging mobile communications and network technologies for healthcare systems.' This book paves the path toward understanding the future of m-health technologies and services and also introducing the impact of mobility on existing e-health and commercial telemedical systems. M-Health: Emerging Mobile Health Systems presents a new and forward-looking source of information that explores the present and future trends in the applications of current and emerging wireless communication and network technologies for different healthcare scenaria. It also provides a discovery path on the synergies between the 2.5G and 3G systems and other relevant computing and information technologies and how they prescribe the way for the next generation of m-health services. The book contains 47 chapters, arranged in five thematic sections: Introduction to Mobile M-health Systems, Smart Mobile Applications for Health Professionals, Signal, Image, and Video Compression for M-health Applications, Emergency Health Care Systems and Services, Echography Systems and Services, and Remote and Home Monitoring. This book is intended for all those working in the field of information technologies in biomedicine, as well as for people working in future applications of wireless communications and wireless telemedical systems. It provides different levels of material to researchers, computing engineers, and medical practitioners interested in emerging e-health systems. This book will be a useful reference for all the readers in this important and growing field of research, and will contribute to the roadmap of future m-health systems and improve the development of effective healthcare delivery systems.
Download or read book Image and Video Indexing Using Vector Quantization written by Fayez M. Idris and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual database systems require efficient indexing to enable fast access to the images and video. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression techniques. Future multimedia applications are likely to increasingly store and transmit the visual information in compressed form. Hence indexing the visual content in compressed domain is expected to result in significant savings in computational complexity. Vector quantization (VQ) is an efficient technique for low bit rate image and video compression. In addition, the lower complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. Most importantly, VQ is naturally an indexing technique, where a block of pixels is compactly represented using an index (label) which corresponds to a codebook. In this thesis, we propose the novel concept of using VQ for joint compression and indexing of images and video. The images/image frames are compressed using VQ and the labels and codewords are employed in indexing the visual content. First, we present a review of image/video compression and indexing. We then propose two techniques in the VQ compressed domain for image indexing. In the first technique, the histogram of codewords weighted by the number of labels is used as feature vector for indexing. In the second technique, the histogram of the labels, which are used to represent an image, is used as an index. We also propose a new technique based on adaptive wavelet VQ, which provides an improvement in coding and retrieval performance. Here, the images are decomposed using wavelet transform followed by VQ of the transform coefficients. A usage map of codewords is generated for each image and is stored along with the image. In the retrieval process, the usage map of the query image (VQ encoded) is compared with the corresponding usage maps of the target images in the database. Since video has both spatial and temporal dimensions, a straightforward extension of the image indexing techniques for video indexing is inefficient. We propose to employ both the spatial and temporal features for efficient indexing of video clips. The video sequence is partitioned into shots using the label maps of the individual frames and the camera operations and motion within each shot are then determined by further processing the label maps. Each shot is then represented using a spatio-temporal index. The spatial index represents the content of the key frame (image) of a shot, while the temporal index represents the motion and camera operations within the shot. Detailed simulations have been carried out using a large database of images and video sequences. Simulation results demonstrate the excellent retrieval performance of the proposed techniques at a significantly reduced computational complexity.
Download or read book Novel Image Compression Methods Based on Vector Quantization written by M. Mary Shanthi Rani and published by LAP Lambert Academic Publishing. This book was released on 2014-12-22 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid growth and development of electronic imaging in the recent years has led to large scale digital media archives. These are increasingly becoming popular as more and more digital media contents are created and deployed online every day. A critical issue in designing such archives is effective storage of the data. Uncompressed data requires more storage and huge bandwidth for transmission. Though the cost of storage is rapidly dropping, compression still remains as a challenging issue due to the growing number of multimedia based online applications. This necessitates the design of highly efficient image compression systems which promise good image quality and compression ratios with low computational complexity. This book is an outcome of the research in vector quantization based methods for compressing still images. It discusses novel image compression methods with performance analysis using standard compression metrics and their vital role in real-time applications. The proposed methods can be used in applications like Medical Image Processing, Mobile Applications, Biometrics, Remote Sensing and other online web applications.
Download or read book Image Indexing and Retrieval Based on Vector Quantization written by Shyh Wei Teng and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Research on Intelligent Data Processing and Information Security Systems written by Bilan, Stepan Mykolayovych and published by IGI Global. This book was released on 2019-11-29 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.
Download or read book Proceedings of the International Conference on Soft Computing for Problem Solving SocProS 2011 December 20 22 2011 written by Kusum Deep and published by Springer Science & Business Media. This book was released on 2012-04-13 with total page 1034 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective is to provide the latest developments in the area of soft computing. These are the cutting edge technologies that have immense application in various fields. All the papers will undergo the peer review process to maintain the quality of work.
Download or read book Image Compression Using Vector Quantization written by Sharon Malka Perlmutter and published by . This book was released on 1995 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Index Medicus written by and published by . This book was released on 2004 with total page 1938 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings.
Download or read book The Use of Vector Quantization in the Data Compression of Medical Images written by Wayne L. Euclide and published by . This book was released on 1987 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Hybrid and Advanced Compression Techniques for Medical Images written by Rohit M. Thanki and published by Springer. This book was released on 2019-02-22 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for different types of medical images; Provides study of compressive sensing theory for compression of medical images.
Download or read book Compression on the Block Indexes in Image Vector Quantization written by and published by . This book was released on 2001 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Compression Using Vector Quantization and Lossless Index Coding written by Mark Dee Hetherington and published by . This book was released on 1993 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Vector Quantization for Image Compression written by Jianhua Lin and published by . This book was released on 1992 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Algorithm for Image Data Compression Based on Vector Quantization written by Sanjay Mishra and published by . This book was released on 1991 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cumulated Index Medicus written by and published by . This book was released on 1999 with total page 1808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
