Storage and Retrieval for Still Image and Video Databases
Author:
Publisher:
Published: 1999
Total Pages: 762
ISBN-13:
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Handbook of Video Databases
Author: Borko Furht
Publisher: CRC Press
Published: 2003-09-30
Total Pages: 1228
ISBN-13: 0203489861
DOWNLOAD EBOOKTechnology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensi
Distributed Multimedia Databases
Author: Timothy K. Shih
Publisher: IGI Global
Published: 2002-01-01
Total Pages: 402
ISBN-13: 9781930708297
DOWNLOAD EBOOKIn the last few years we have observed an explosive growth of multimedia computing, communication and applications. This revolution is transforming the way people live, work, and interact with each other, and is impacting the way business, government services, education, entertainment and healthcare are operating. Yet, several issues related to modeling, specification, analysis and design of distributed multimedia database systems and multimedia information retrieval are still challenging to both researchers and praclitioners. Distributed Multimedia Databases: Techniques and Applications points out these challenges and provides valuable suggestions toward the necessary solutions, by focusing on multimedia database techniques.
Visual Information and Information Systems
Author: Nies Huijsmans
Publisher: Springer
Published: 2003-07-31
Total Pages: 851
ISBN-13: 354048762X
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Third International Conference on Visual Information Systems, VISUAL'99, held in Amsterdam, The Netherlands, in June 1999. The 100 revised papers presented were carefully reviewed and selected from numerous submissions. The book is divided into topical sections on visual information systems, interactive visual query, Internet search engines, video parsing, spatial data, visual languages, features and indexes for image retrieval, object retrieval, ranking and performance, shape retrieval, retrieval systems, image compression, virtual environments, recognition systems, and visualization systems.
Video Cataloguing
Author: Guangyu Gao
Publisher: CRC Press
Published: 2015-10-27
Total Pages: 171
ISBN-13: 1482235781
DOWNLOAD EBOOKThe arrival of the digital age has created the need to be able to store, manage, and digitally use an ever-increasing amount of video and audio material. Thus, video cataloguing has emerged as a requirement of the times. Video Cataloguing: Structure Parsing and Content Extraction explains how to efficiently perform video structure analysis as well
Computer Vision and Graphics
Author: Leonard Bolc
Publisher: Springer Science & Business Media
Published: 2010-09-13
Total Pages: 409
ISBN-13: 3642159060
DOWNLOAD EBOOKsupporting the Conference.
Encyclopedia of Image Processing
Author: Phillip A. Laplante
Publisher: CRC Press
Published: 2018-11-08
Total Pages: 856
ISBN-13: 1351032739
DOWNLOAD EBOOKThe Encyclopedia of Image Processing presents a vast collection of well-written articles covering image processing fundamentals (e.g. color theory, fuzzy sets, cryptography) and applications (e.g. geographic information systems, traffic analysis, forgery detection). Image processing advances have enabled many applications in healthcare, avionics, robotics, natural resource discovery, and defense, which makes this text a key asset for both academic and industrial libraries and applied scientists and engineers working in any field that utilizes image processing. Written by experts from both academia and industry, it is structured using the ACM Computing Classification System (CCS) first published in 1988, but most recently updated in 2012.
Computational Methods for Integrating Vision and Language
Author: Kenichi Kanatani
Publisher: Springer Nature
Published: 2022-05-31
Total Pages: 211
ISBN-13: 3031018141
DOWNLOAD EBOOKModeling data from visual and linguistic modalities together creates opportunities for better understanding of both, and supports many useful applications. Examples of dual visual-linguistic data includes images with keywords, video with narrative, and figures in documents. We consider two key task-driven themes: translating from one modality to another (e.g., inferring annotations for images) and understanding the data using all modalities, where one modality can help disambiguate information in another. The multiple modalities can either be essentially semantically redundant (e.g., keywords provided by a person looking at the image), or largely complementary (e.g., meta data such as the camera used). Redundancy and complementarity are two endpoints of a scale, and we observe that good performance on translation requires some redundancy, and that joint inference is most useful where some information is complementary. Computational methods discussed are broadly organized into ones for simple keywords, ones going beyond keywords toward natural language, and ones considering sequential aspects of natural language. Methods for keywords are further organized based on localization of semantics, going from words about the scene taken as whole, to words that apply to specific parts of the scene, to relationships between parts. Methods going beyond keywords are organized by the linguistic roles that are learned, exploited, or generated. These include proper nouns, adjectives, spatial and comparative prepositions, and verbs. More recent developments in dealing with sequential structure include automated captioning of scenes and video, alignment of video and text, and automated answering of questions about scenes depicted in images.
Intelligent Algorithms in Ambient and Biomedical Computing
Author: Wim Verhaegh
Publisher: Springer Science & Business Media
Published: 2006-09-09
Total Pages: 329
ISBN-13: 1402049951
DOWNLOAD EBOOKThis book is the outcome of a series of discussions at the Philips Symposium on Intelligent Algorithms, held in Eindhoven in December 2004. It offers exciting and practical examples of the use of intelligent algorithms in ambient and biomedical computing. It contains topics such as bioscience computing, database design, machine consciousness, scheduling, video summarization, audio classification, semantic reasoning, machine learning, tracking and localization, secure computing, and communication.
Perspectives on Content-Based Multimedia Systems
Author: Jian Kang Wu
Publisher: Springer Science & Business Media
Published: 2006-04-11
Total Pages: 397
ISBN-13: 0306470330
DOWNLOAD EBOOKMultimedia data comprising of images, audio and video is becoming increasingly common. The decreasing costs of consumer electronic devices such as digital cameras and digital camcorders, along with the ease of transportation facilitated by the Internet, has lead to a phenomenal rise in the amount of multimedia data generated and distributed. Given that this trend of increased use of multimedia data is likely to accelerate, there is an urgent need for providing a clear means of capturing, storing, indexing, retrieving, analyzing and summarizing such data. Content-based access to multimedia data is of primary importance since it is the natural way by which human beings interact with such information. To facilitate the content-based access of multimedia information, the first step is to derive feature measures from these data so that a feature space representation of the data content can be formed. This can subsequently allow for mapping the feature space to the symbol space (semantics) either automatically or through human intervention. Thus, signal to symbol mapping, useful for any practical system, can be successfully achieved. Perspectives on Content-Based Multimedia Systems provides a comprehensive set of techniques to tackle these important issues. This book offers detailed solutions to a wide range of practical problems in building real systems by providing specifics of three systems built by the authors. While providing a systems focus, it also equips the reader with a keen understanding of the fundamental issues, including a formalism for content-based multimedia database systems, multimedia feature extraction, object-based techniques, signature-based techniques and fuzzy retrieval techniques. The performance evaluation issues of practical systems is also explained. This book brings together essential elements of building a content-based multimedia database system in a way that makes them accessible to practitioners in computer science and electrical engineering. It can also serve as a textbook for graduate-level courses.
