Design and Management of Multimedia Information Systems: Opportunities and Challenges: Opportunities and ChallengesSyed, Mahbubur Rahman Idea Group Inc (IGI), 2000. gada 1. jūl. - 464 lappuses Multimedia technology has the potential to transform end user computing from interactive text and graphics models into something more compatible with the digital and electronic world of the new century. Design and Management of Multimedia Information Systems: Opportunities and Challenges aims to help technology professionals gain an understanding and perspective on areas related to multimedia computing and communication, while addressing the major issues and challenges in the design and management of multimedia information systems. |
No grāmatas satura
1.–5. rezultāts no 50.
11. lappuse
... selected). • Abstract-iconic: An example of an abstract-iconic network text is interactive audio of abstract-iconic audio recordings (e.g., a demonstration audio recording comprising examples of synthesised sounds for possible use in an ...
... selected). • Abstract-iconic: An example of an abstract-iconic network text is interactive audio of abstract-iconic audio recordings (e.g., a demonstration audio recording comprising examples of synthesised sounds for possible use in an ...
13. lappuse
... selected articles may be chosen at will. All these considerations are external to the definition of the nature of the text, and can therefore be considered separately: the model does not tie definitions of multimedia down to specific ...
... selected articles may be chosen at will. All these considerations are external to the definition of the nature of the text, and can therefore be considered separately: the model does not tie definitions of multimedia down to specific ...
15. lappuse
... selected by the subjects for each media object, and identified misclassifications. The independent variable for the experiment was the TOMUS category; the dependent variable was errors. Twenty third-year computer science students ...
... selected by the subjects for each media object, and identified misclassifications. The independent variable for the experiment was the TOMUS category; the dependent variable was errors. Twenty third-year computer science students ...
19. lappuse
... selection process. By this we mean that, having selected an appropriate representational type from TOMUS, the decision to augment the representation with additional distinguishing information could be made subsequent to this choice ...
... selection process. By this we mean that, having selected an appropriate representational type from TOMUS, the decision to augment the representation with additional distinguishing information could be made subsequent to this choice ...
28. lappuse
... selection of the colors from the quantized color space. Because Color Set feature vectors were binary, a binary search tree was constructed to allow fast search. Texture. Texture refers to visual patterns that have properties of ...
... selection of the colors from the quantized color space. Because Color Set feature vectors were binary, a binary search tree was constructed to allow fast search. Texture. Texture refers to visual patterns that have properties of ...
Saturs
1 | |
22 | |
RealTime Disk Scheduling for Multimedia Data Retrieval | 50 |
Representing Symbolic Pictures Using Iconic Indexing | 64 |
A Framework for Supporting Reuse in Hypermedia | 80 |
Compression of Still Images | 101 |
Media Retrieval and Database Access | 123 |
Design and Evaluation of a ContentBased Image Retrieval System | 125 |
Review of Fuzzy Image Segmentation Techniques | 282 |
Applications DesignEducational Multimedia | 314 |
Educational Multimedia and Teacher Competencies | 315 |
Cognition Reearch Basis for Instructional Multimedia | 323 |
Cheap Production of Multimedia Programs | 336 |
Temporal Modeling | 344 |
Temporal Models and Their Applciations in Multimedia Information Retrieval | 345 |
HTSPN An Experience in Formal Modeling of Multimedia Applications Coded in MHEG or Java | 380 |
A Multimedia Document Retrieval System Supporting Structure and ContentBased Retrieval | 152 |
Semantic ContentBased Retrieval for Video Documents | 165 |
Fuzzy Query Languages for Multimedia Data | 201 |
Applications Design 2D 3D and Virtual Reality Environments | 213 |
Using Animation to Enhance 3D User Interfaces for Multimedia | 214 |
Virtual Sets Concepts and Trends | 247 |
Multimedia Dictionary and Synthesis of Sign Languages | 268 |
Issues in Spatiotemporal Data Modeling | 412 |
Legal IssueMultimedia Copyright | 434 |
Multimedia Copyright Protection | 435 |
About the Authors | 452 |
Index | 462 |
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Bieži izmantoti vārdi un frāzes
activity algorithm allow analysis animation applications approach associated attributes audio authoring Chang chapter clips color communication complex components composite compression Computer concept Conference considered construction contains content-based created database defined described developed direction document effects element example extracted Figure frame function fuzzy given graphical IEEE important input instance interactive interface interval language learning means measures methods multimedia object operators performance picture pixel position possible presentation problem Proceedings proposed query real-time reference region relationships represent representation respectively retrieval reuse scene schedule schema segmentation selected semantic sequence shows similar space spatial spatiotemporal specific stream structure symbolic synchronization task techniques temporal transform transition types units University values vector virtual visual watermark
Populāri fragmenti
4. lappuse - A science that studies the life of signs within society is conceivable; it would be a part of social psychology and consequently of general psychology; I shall call it semiology (from Greek semeion , "sign").
44. lappuse - Conf. on Storage and Retrieval for Image and Video Databases, San Jose, CA, 1993. 5. HJ Zhang et al., Automatic Parsing and Indexing of News Video, Multimedia Systems, 2 (6), pp.
4. lappuse - sign'). Semiology would show what constitutes signs, what laws govern them. Since the science does not yet exist, no one can say what it would be; but it has a right to existence, a place staked out in advance. Linguistics is only a part of the general science of semiology; the laws discovered by semiology will be applicable to linguistics, and the latter will circumscribe a well-defined area within the mass of anthropological facts.
161. lappuse - Figure 9 shows both color and shape index structures constructed using X-tree. Unified Retrieval Even though there have been various retrieval models in the traditional text-based information retrieval, there is little research on retrieval models for structured- and contentbased multimedia information retrieval. To answer a document structure query, a similarity (Sw) between an element q and an element t is computed as the similarity between the term vector of node q and that of node t, as shown...
30. lappuse - In general, the shape representations can be divided into two categories, boundary-based and region-based. The former uses only the outer boundary of the shape while the latter uses the entire shape region (Rui, She & Huang, 1996).
151. lappuse - Report on the Need for and Provision of an "Ideal" Information Retrieval Test Collection, British Library Research and Development Report 5266, Computer Laboratory, University of Cambridge.
116. lappuse - Each node of the tree corresponds to a pixel and is identified by the pixel coordinate. Its direct descendants (offspring) correspond to the pixels of the same spatial orientation in the next finer level of the pyramid. The tree is defined in such a way that each node has either no offspring (the leaves) of four offspring, which always form a group of 2x2 adjacent pixels.
44. lappuse - Texture Analysis and Classification with Tree-Structured Wavelet Transform.
29. lappuse - Texture refers to the visual patterns that have properties of homogeneity that do not result from the presence of only a single color or intensity.