Interactive Multimedia SystemsRahman, Syed M. Idea Group Inc (IGI), 2001. gada 1. jūl. - 316 lappuses Multimedia technology has the potential to evolve the paradigm of end user computing, from the interactive text and graphics model that has developed since the 1950s, into one more compatible with the digital electronic world of the next century. Decreasing hardware costs, a relatively inexpensive storage capacity and a rapid increasing computing power and network bandwidth, all major requirements of multimedia applications, have contributed to the recent tremendous growth in production and use of multimedia contents. Interactive Multimedia Systems addresses these innovative technologies and how they can positively impact a variety of areas. |
No grāmatas satura
xi. lappuse
... shape features based on X-tree. Finally, the authors do a performance evaluation of their multimedia document retrieval system in terms of system efficiency and system effectiveness. Chapter4entitled, “Semantic Content-Based Retrieval ...
... shape features based on X-tree. Finally, the authors do a performance evaluation of their multimedia document retrieval system in terms of system efficiency and system effectiveness. Chapter4entitled, “Semantic Content-Based Retrieval ...
5. lappuse
... shape, as well as video indexing by using cut detection, would fall into this category. These approaches are straightforward because they use techniques that are well understood in the image processing and pattern recognition ...
... shape, as well as video indexing by using cut detection, would fall into this category. These approaches are straightforward because they use techniques that are well understood in the image processing and pattern recognition ...
8. lappuse
... shape features, while the latter is application dependent and may include, for example, human faces and fingerprints. The domain-specific features are better covered in pattern recognition literature and may result in much domain ...
... shape features, while the latter is application dependent and may include, for example, human faces and fingerprints. The domain-specific features are better covered in pattern recognition literature and may result in much domain ...
10. lappuse
... Shape In multimedia content analysis, depending on the applications, many require the shape representation to be invariant to translation, rotation and scaling. In the following we will focus on shape representations that are ...
... Shape In multimedia content analysis, depending on the applications, many require the shape representation to be invariant to translation, rotation and scaling. In the following we will focus on shape representations that are ...
11. lappuse
... shape. It embraced the desirable properties such as multi-resolution representation, invariance, uniqueness, stability and spatial localization. For shape matching, chamfer matching attracted much research attention. Barrow et al. (1977) ...
... shape. It embraced the desirable properties such as multi-resolution representation, invariance, uniqueness, stability and spatial localization. For shape matching, chamfer matching attracted much research attention. Barrow et al. (1977) ...
Saturs
1 | |
Chapter 2 Design and Evaluation of a ContentBased Image Retrieval System | 38 |
Chapter 3 A Multimedia Document Retrieval System Supporting Structureand ContentBased Retrieval | 73 |
Chapter 4 Semantic ContentBased Retrieval for Video Documents | 89 |
Chapter 5 Educational Multimedia and Teacher Competencies | 136 |
Chapter 6 Cognition Research Basis for Instructional Multimedia | 146 |
Chapter 7 Cheap Production of Multimedia Programs | 163 |
Chapter 8 Multimedia Copyright Protection | 173 |
Chapter 11 Remote Control for Videoconferencing | 219 |
Chapter 12 A Collaborative DesignbySketching Conceptual Design Tool for Multimedia Application Development | 231 |
Chapter 13 Principles for Supporting and Enhancing User Navigation of Digital Video in Video Browsers | 239 |
A Case Study of Multilingual Applications | 251 |
Chapter 15 Design of a CBIR System Supporting High Level Concepts | 259 |
Chapter 16 A New Encryption Algorithm for High Throughput Multimedia | 269 |
Chapter 17 Video Performance in Java | 283 |
About the Editor | 293 |
Chapter 9 Software Reuse in Hypermedia Applications | 195 |
Chapter 10 A Flexible Framework for the KnowledgeBased Generation of Multimedia Presentations | 204 |
Index | 294 |
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abstraction activity algorithm allow analysis applications approach association attributes audio CBIRS Chang chapter characteristics coding scheme cognitive load collection color communication complex components Computer concept Conference considered constructed contains content-based content-based image retrieval database defined described detection developed document educational effective element encryption engine evaluation example existing extracted Figure frames graphical human IEEE implementation important instance instruction interactive interface International Java knowledge learning matrix means measures methods multimedia navigation objects performance possible presentation problem Proceedings proposed query REFERENCES relationship relevant remote representation representing requirements segments selection semantic units shape shot similarity space specific stored structure techniques Technology texture tion University video semantic visual watermark