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Author: HongJiang Zhang
Publisher: Springer Science & Business Media
ISBN: 0585317860
Category : Computers
Languages : en
Pages : 82
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Book Description
Representation and Retrieval of Video Data in Multimedia Systems brings together in one place important contributions and up-to-date research results in this important area. Representation and Retrieval of Video Data in Multimedia Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: HongJiang Zhang
Publisher: Springer Science & Business Media
ISBN: 0585317860
Category : Computers
Languages : en
Pages : 82
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Book Description
Representation and Retrieval of Video Data in Multimedia Systems brings together in one place important contributions and up-to-date research results in this important area. Representation and Retrieval of Video Data in Multimedia Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: HongJiang Zhang
Publisher: Springer Science & Business Media
ISBN: 058534549X
Category : Computers
Languages : en
Pages : 94
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Book Description
Representation and Retrieval of Visual Media in Multimedia Systems brings together in one place important contributions and up-to-date researcg results in this important area. Representation and Retrieval of Visual Media in Multimedia Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.
Author: Sagarmay Deb
Publisher: IGI Global
ISBN: 1591401569
Category : Technology & Engineering
Languages : en
Pages : 407
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Book Description
Business intelligence has always been considered an essential ingredient for success. However, it is not until recently that the technology has enabled organizations to generate and deploy intelligence for global competition. These technologies can be leveraged to create the intelligent enterprises of the 21st century that will not only provide excellent and customized services to their customers, but will also create business efficiency for building relationships with suppliers and other business partners on a long term basis. Creating such intelligent enterprises requires the understanding and integration of diverse enterprise components into cohesive intelligent systems. Anticipating that future enterprises need to become intelligent, Intelligent Enterprises of the 21st Century brings together the experiences and knowledge from many parts of the world to provide a compendium of high quality theoretical and applied concepts, methodologies, and techniques that help diffuse knowledge and skills required to create and manage intelligent enterprises of the 21st century for gaining sustainable competitive advantage in a global environment. This book is a comprehensive compilation of the state of the art vision and thought processes needed to design and manage globally competitive business organizations.
Author: Borko Furht
Publisher: Springer Science & Business Media
ISBN: 1461313414
Category : Computers
Languages : en
Pages : 333
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Book Description
Multimedia computing has emerged in the last few years as a major area of research. Multimedia computer systems have opened a wide range of applications by combining a variety of information sources, such as voice, graphics, animation, images, audio and full-motion video. Looking at the big picture, multimedia can be viewed as the merging of three industries: computer, communications, and broadcasting industries. Research and development efforts can be divided into two areas. As the first area of research, much effort has been centered on the stand-alone multimedia workstation and associated software systems and tools, such as music composition, computer-aided education and training, and interactive video. However, the combination of multimedia computing with distributed systems offers even greater potential. New applications based on distributed multimedia systems include multimedia information systems, collaborative and video conferencing systems, on-demand multimedia services, and distance learning. Multimedia Systems and Techniques is one of two volumes published by Kluwer, both of which provide a broad introduction into this fast moving area. The book covers fundamental concepts and techniques used in multimedia systems. The topics include multimedia objects and related models, multimedia compression techniques and standards, multimedia interfaces, multimedia storage techniques, multimedia communication and networking, multimedia synchronization techniques, multimedia information systems, scheduling in multimedia systems, and video indexing and retrieval techniques. Multimedia Systems and Techniques, together with its companion volume, Multimedia Tools and Applications, is intended for anyone involved in multimedia system design and applications and can be used as a textbook for advanced courses on multimedia.
Author: Jian Kang Wu
Publisher: Springer Science & Business Media
ISBN: 0306470330
Category : Computers
Languages : en
Pages : 397
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Book Description
Multimedia 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.
Author: Aleksey Fadeev
Publisher:
ISBN:
Category : Multimedia systems
Languages : en
Pages : 274
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Book Description
The wide spread of devices capable of capturing multimedia content in the from of images and videos have created large volumes of information that cannot be indexed with traditional text based methods. The need for efficient representation, indexing, searching, and browsing of multimedia content have stimulated research on content based multimedia retrieval (CBMR) systems. CBMR systems represent multimedia objects based on their low-level visual and audio content rather then describing them with text labels. The main limitations of existing representation methods include the high dimensionality of the feature descriptors and their inability to represent objects with nonhomogeneous content. To address these limitations, we propose a new approach to represent multimedia objects. In particular, tins dissertation includes two main contributions. The first one consists of a novel approach to extract and represent features in terms of Dominant Descriptors (DD). The second contribution consists of a new approach to embed relational data (generated by the DD) in an Euclidean space. Our DD approach is generic and can be used to represent color, texture, and audio content. It is a data driven approach that represents multimedia objects in a compact and intuitive form as signatures with dominant components. Unlike traditional methods that describe content by using simple statistics regardless of the homogeneity of the object, the DD approach identifies the optimal number of components to describe each object. Homogeneous objects would be represented by feature descriptors with few components while nonhomogeneous objects would require a larger number of components. For the case of Dominant Texture Descriptors, we generalize our representation to include spatial constraints. We show that our approach can be used to generalized some of the widely used methods for texture and audio representation adopted in the MPEG-7 standard. The description of content in terms of DD does not provide feature vectors. It only allows pairwise comparison of multimedia objects. That is, it generates relational data. However, to take advantage of robust machine learning methods, and efficient indexing methods developed for object representation, dominant features need to be mapped to a vector space. The second main contribution of this dissertation addresses this issue and proposes a new method for mapping dominant descriptors into the Euclidean space. The proposed Euclidean embedding method is generic, data driven, and generates feature vectors that are interpretable and normalized. Our method is based on clustering of relational data to identify regions of feature space that group similar samples of data. Then, for each cluster, few anchor points are selected to generate cluster memberships that are used to map data. We propose a strategy for anchor point selection that ensures that the mapped features preserve the ordinal structure of the relational space. Using crisp, fuzzy, or possibilistic memberships, the quality of created embedding can he controlled to accommodate the application requirements. To validate the proposed feature representation and embedding, we developed a Content Based Video Retrieval (CBVR) prototype system called DOFER (Dominant Feature Retrieval). DOFER has capabilities to create and index video collections based on visual and audio content. Our prototype incorporates existing methods for multimedia content representation, as well as, the new methods proposed in this dissertation. This allows us to make performance comparison of different methods on content retrieval tasks. Using large collections of videos, we present experimental results to demonstrate that the proposed methods can improve the quality of a CBMR system compared to standard methods.
Author: Borko Furht
Publisher: Springer Science & Business Media
ISBN: 1461522773
Category : Technology & Engineering
Languages : en
Pages : 375
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Book Description
Video and Image Processing in Multimedia Systems treats a number of critical topics in multimedia systems, with respect to image and video processing techniques and their implementations. These techniques include: Image and video compression techniques and standards, and Image and video indexing and retrieval techniques. Video and Image Processing in Multimedia Systems is divided into three parts. Part I serves as an introduction to multimedia systems, discussing basic concepts, multimedia networking and synchronization, and an overview of multimedia applications. Part II presents comprehensive coverage of image and video compression techniques and standards, their implementations and applications. Because multimedia data (specifically video and images) require efficient compression techniques in order to be stored and delivered in real-time, video and image compression is a crucial element of an effective multimedia system. In Part III attention is focused on the semantic nature of image and video source material, and how that material may be effectively indexed and retrieved. Topics discussed include static images, full-motion video, and the manner in which compressed representations can facilitate structural analysis. Part III concludes with an extended discussion of a case study. This book serves as an invaluable reference with respect to the most important standards in the field. Video and Image Processing in Multimedia Systems is suitable as a textbook for course use.
Author: Oge Marques
Publisher: Springer Science & Business Media
ISBN: 1461509874
Category : Computers
Languages : en
Pages : 189
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Book Description
Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.
Author: Henk M. Blanken
Publisher: Springer Science & Business Media
ISBN: 3540728953
Category : Computers
Languages : en
Pages : 384
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Book Description
Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.
Author: Francesco Colace
Publisher: Springer
ISBN: 3319200623
Category : Computers
Languages : en
Pages : 380
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Book Description
This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.
