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. |
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8. lappuse
Rahman, Syed M. Image Analysis Visual feature extraction is the basis for media content management. In general, visual features can be classified as general features and domainspecific features. The former include, for example, color ...
Rahman, Syed M. Image Analysis Visual feature extraction is the basis for media content management. In general, visual features can be classified as general features and domainspecific features. The former include, for example, color ...
9. lappuse
... extracted meaningful statistics from the matrix as the texture representation. Many other researchers followed the same direction and further proposed enhanced versions. For example, Gotlieb and Kreyszig (1990) studied the statistics ...
... extracted meaningful statistics from the matrix as the texture representation. Many other researchers followed the same direction and further proposed enhanced versions. For example, Gotlieb and Kreyszig (1990) studied the statistics ...
11. lappuse
... extracted from a whole image (global features) or be extracted from segmented image regions (local features). Many research results suggested that using local features is a bettersolution. We will next use local color feature extraction ...
... extracted from a whole image (global features) or be extracted from segmented image regions (local features). Many research results suggested that using local features is a bettersolution. We will next use local color feature extraction ...
12. lappuse
... extracted the first three color moments from five predefined partially overlapping fuzzy regions. The usage of the overlapping region made their approach relatively insensitive to small regions transformations. Pass et al. (1996) ...
... extracted the first three color moments from five predefined partially overlapping fuzzy regions. The usage of the overlapping region made their approach relatively insensitive to small regions transformations. Pass et al. (1996) ...
13. lappuse
... extracted. • Video scene is defined as a collection of semantically related and temporally adjacent shots, depicting and conveying a high-level concept or story. While shots are marked by physical boundaries, scenes are marked by ...
... extracted. • Video scene is defined as a collection of semantically related and temporally adjacent shots, depicting and conveying a high-level concept or story. While shots are marked by physical boundaries, scenes are marked by ...
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