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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vii. lappuse
... visual and more interesting to the students. The advent of multimedia played a great role in grabbing the attention of the learner – the first step of learning. The relationships between cognition, learning and education were carefully ...
... visual and more interesting to the students. The advent of multimedia played a great role in grabbing the attention of the learner – the first step of learning. The relationships between cognition, learning and education were carefully ...
5. lappuse
... visual content of the image and similarity retrieval using different similarity metrics between the two histogram vectors. Content Analysis Approaches In the past decade we have seen different approaches to the problem of content ...
... visual content of the image and similarity retrieval using different similarity metrics between the two histogram vectors. Content Analysis Approaches In the past decade we have seen different approaches to the problem of content ...
6. lappuse
... visual and vision-based types of algorithms for content analysis. However recently we see a shift in thinking that all available channels that are part of the video stream should be analyzed which includes the audio track as well as the ...
... visual and vision-based types of algorithms for content analysis. However recently we see a shift in thinking that all available channels that are part of the video stream should be analyzed which includes the audio track as well as the ...
7. lappuse
... visual features from images. We will then move on to video analysis—segmenting video clips into basic segments and organizing them in a meaningful way. We finally discuss how to extract useful audio features to help manage audio content ...
... visual features from images. We will then move on to video analysis—segmenting video clips into basic segments and organizing them in a meaningful way. We finally discuss how to extract useful audio features to help manage audio content ...
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 ...
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