Production and consumption of multimedia content on the Internet is rising, fueled by the demand for content from services such as YouTube, Netflix and Facebook video. The Internet is shifting from host-based to content-centric networking. At the same time, users are shifting away from a homogeneous desktop computing environment to using a heterogeneous mix of devices, such as smartphones, tablets and thin clients, all of which allow users to consume data on the move using wireless and cellular data networks. The popularity of these new class of devices has, in turn, increased demand for multimedia content by mobile users. The emergence of rich Internet applications and the widespread adoption and use of High Definition (HD) video has also placed higher pressure on the service providers and the core Internet backbone, forcing service providers to respond to increased bandwidth use in such networks. In my thesis, I aim to provide clarity and insight into the usage of core networking protocols and multimedia consumption on both mobile and wireless networks, as well as the network core. I also present research prototypes for potential solutions to some of the problems caused by the increased multimedia consumption on the Internet.

Online Multimedia Management System (OMMS) is a project to provide users to store and share their mutimedia files. The users and administrator can modify and update the multimedia files and database information from a normal web browser. The administrator and users with access have different levels of permission.

No description available.

Thesis (doctoral)--Universität Münster, 2000/01. / Includes bibliographical references (p. [xxxi]-liv) and index.

No description available.

The primary purpose of this work is to propose a new scheduling approach of multimedia data streams in real-time communication and also to study and analyze the various existing scheduling approaches.

The retrieval of digital images is hindered by the semantic gap. The semantic gap is the disparity between a user's high-level interpretation of an image and the information that can be extracted from an image's physical properties. Content based image retrieval systems are particularly vulnerable to the semantic gap due to their reliance on low-level visual features for describing image content. The semantic gap can be narrowed by including high-level, user-generated information. High-level descriptions of images are more capable of capturing the semantic meaning of image content, but it is not always practical to collect this information. Thus, both content-based and human-generated information is considered in this work. A content-based method of retrieving images using a computational model of visual attention was proposed, implemented, and evaluated. This work is based on a study of contemporary research in the field of vision science, particularly computational models of bottom-up visual attention. The use of computational models of visual attention to detect salient by design regions of interest in images is investigated. The method is then refined to detect objects of interest in broad image databases that are not necessarily salient by design. An interface for image retrieval, organization, and annotation that is compatible with the attention-based retrieval method has also been implemented. It incorporates the ability to simultaneously execute querying by image content, keyword, and collaborative filtering. The user is central to the design and evaluation of the system. A game was developed to evaluate the entire system, which includes the user, the user interface, and retrieval methods. / by Liam M. Mayron. / Thesis (Ph.D.)--Florida Atlantic University, 2008. / Includes bibliography. / Electronic reproduction. Boca Raton, FL : 2008 Mode of access: World Wide Web.

Wu, Xixuan. / Thesis Ph.D. Chinese University of Hong Kong 2015. / Includes bibliographical references (leaves 115-128). / Abstracts also in Chinese. / Title from PDF title page (viewed on 26, October, 2016).

by Ip Kin-ting, Joma. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 47-49). / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.iii / ACKNOWLEDGEMENTS --- p.v / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Background --- p.1 / Objective --- p.2 / Report Organization --- p.2 / Chapter II. --- RESEARCH METHODOLOGY --- p.3 / Methodology --- p.3 / Problem Definition --- p.3 / Information Needs --- p.3 / Information Collection --- p.4 / Analysis and Conclusion --- p.4 / Chapter III. --- MULTIMEDIA TECHNOLOGY - AN OVERVIEW --- p.5 / Definition --- p.5 / Benefits --- p.6 / Major Components of Multimedia systems --- p.6 / Typical Multimedia Systems --- p.12 / Multimedia Standards --- p.15 / Existing Multimedia Applications --- p.16 / The Trend --- p.18 / Summary --- p.20 / Chapter IV. --- PRODUCTION MANAGEMENT - AN OVERVIEW --- p.22 / Definition --- p.22 / Major Production Management Activities --- p.22 / Manufacturing Resource Planning --- p.26 / Just-in-time Manufacturing --- p.27 / Computerised Production Information Systems --- p.28 / The Trend --- p.32 / Summary --- p.34 / Chapter V. --- INTERVIEW REPORTS --- p.35 / Rototech --- p.35 / Kitty & Kettie Supermarket Limited --- p.36 / Summary --- p.36 / Chapter VI. --- MULTIMEDIA TECHNOLOGY IN PRODUCTION INFORMATION MANAGEMENT --- p.37 / The Role of Multimedia Technology in Production Information Management --- p.37 / Existing Applications --- p.38 / The Opportunities --- p.41 / Summary --- p.43 / Chapter VII. --- CONCLUSIONS AND RECOMMENDATIONS --- p.44 / BIBLIOGRAPHY --- p.47

by Fong Siu-kit. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1994. / Includes bibliographical references (leaves 73-77). / Abstract --- p.1 / Chapter 1. --- Introduction --- p.2 / Chapter 2. --- Background and Related Work --- p.5 / Chapter 2.1 --- Requirements of a Good Query Language /Interface --- p.5 / Chapter 2.2 --- Casual versus Frequent Users --- p.6 / Chapter 2.3 --- Graphical User Interface --- p.8 / Chapter 2.4 --- Windowing --- p.10 / Chapter 2.5 --- Use of Voice in User Interface --- p.11 / Chapter 2.6 --- Related Work --- p.12 / Chapter 2.6.1 --- Examples of Query Interface Designs in the Literature --- p.13 / Chapter 2.6.2 --- Examples of Query Interfaces in Commercial Packages --- p.15 / Chapter 3. --- Interface Design Concepts --- p.17 / Chapter 3.1 --- Data Model --- p.18 / Chapter 3.2 --- General Guidelines on Interface Design --- p.19 / Chapter 3.3 --- Divide and Conquer Strategy --- p.21 / Chapter 3.4 --- Unit of Operation --- p.24 / Chapter 3.5 --- The Second Clicking Principle --- p.26 / Chapter 3.6 --- Use of Voice in the Interface --- p.28 / Chapter 3.7 --- Customization of User Level --- p.29 / Chapter 4. --- Interface Specification and implementation --- p.30 / Chapter 4.1 --- System Menu --- p.31 / Chapter 4.2 --- ER Diagram and Tables Window --- p.33 / Chapter 4.3 --- Overview on R Window and Result Icon Window --- p.36 / Chapter 4.4 --- Choose Fields Operation --- p.38 / Chapter 4.5 --- Choose Rows Operation --- p.41 / Chapter 4.6 --- Combine Tables Operation --- p.45 / Chapter 4.7 --- For Each Group Operation --- p.49 / Chapter 4.8 --- Set Operations --- p.50 / Chapter 4.9 --- Decomposition and Recomposition of Queries --- p.51 / Chapter 5. --- Example of Application for a Complex Query --- p.54 / Chapter 6. --- Help Facilities and Error Handling --- p.63 / Chapter 6.1 --- Help Function --- p.64 / Chapter 6.2 --- Error Diagnosis --- p.66 / Chapter 7. --- Summary and Conclusion --- p.69 / Bibliography --- p.73 / Appendix --- p.78