Multimedia Networking and Coding - Info and Reading Options

"Multimedia Networking and Coding" Table Of Contents:

• 1- Table of Contents and List of Contributors
• 2- 1. A Survey on Video Coding Principles and Standards (pages 1-27)
• 3- H. Koumaras (Institute of Informatics and Telecommunications, Greece), M.A. Kourtis (Athens University of Economic and Business, Greece)
• 4- More details...
• 5- 2. Compression Artifacts in Modern Video Coding and State-of-the-Art Means of Compensation (pages 28-49)
• 6- Andreas Unterweger (University of Salzburg, Austria)
• 7- More details...
• 8- 3. Performance Scalable Motion Estimation for Video Coding: An Overview of Current Status and a Promising Approach (pages 50-75)
• 9- Golam Sorwar (Southern Cross University, Australia), Manzur Murshed (Monash University, Australia)
• 10- More details...
• 11- 4. Advances in Region-of-Interest Video and Image Processing (pages 76-123)
• 12- Dan Grois (Ben-Gurion University of the Negev, Israel), Ofer Hadar (Ben-Gurion University of the Negev, Israel)
• 13- The advent of cheaper and more powerful devices with the ability to play, create, and transmit video content has led to a dramatic increase in the multimedia content...
• 14- 5. Technical Challenges of 3D Video Coding (pages 124-147)
• 15- Cheon Lee (Gwangju Institute of Science and Technology, Republic of Korea), Yo-Sung Ho (Gwangju Institute of Science and Technology, Republic of Korea)
• 16- Three-dimensional video (3DV) is expected to be the next multimedia technology that provides depth impression of observed scenery with multi-view videos. In fact, st...
• 17- 6. State-of-the Art Motion Estimation in the Context of 3D TV (pages 148-173)
• 18- Vania V. Estrela (Universidade Federal Fluminense, Brazil), A. M. Coelho (Instituto Federal de Ed., Ciencia e Tecn. do Sudeste de Minas Gerais, Brazil)
• 19- Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects recons...
• 20- 7. Source Coding Methods for Robust Wireless Video Streaming (pages 175-207)
• 21- Martin Fleury (University of Essex, UK), Mohammad Altaf (University of Essex, UK), Sandro Moiron (University of Essex, UK), Nadia Qadri (COMSATS Institute of Information Technology, Wah Cantt, Pakistan), Mohammed Ghanbari (University of Essex, UK)
• 22- As real-time video streaming moves to the mobile Internet, there is a greater need to protect fragile compressed bit-streams from the impact of lossy wireless channe... details...
• 23- 8. Resilient Video Coding via Improved Motion Compensated Prediction (pages 208-234)
• 24- Sunday Nyamweno (McGill University, Canada), Ramdas Satyan (McGill University, Canada), Fabrice Labeau (McGill University, Canada)
• 25- Motion compensated prediction (MCP) is at the heart of modern video compression standard because of its ability to remove temporal redundancies. However, MCP is resp...
• 26- 9. Free-Viewpoint 3DTV: View Interpolation, Coding, and Streaming (pages 235-253)
• 27- S. Zinger (Eindhoven University of Technology, The Netherlands), L. Do (Eindhoven University of Technology, The Netherlands), P. H. N. de With (Eindhoven University of Technology, The Netherlands), G. Petrovic (Eindhoven University of Technology, The Netherlands), Y. Morvan (Eindhoven University of Technology, The Netherlands)
• 28- Free-ViewPoint (FVP) interpolation allows creating a new view between the existing reference views. Applied to 3D multi-view video sequences, it leads to two importa...
• 29- 10. Peer-to-Peer Video Streaming (pages 254-313)
• 30- Jânio M. Monteiro (ISE, University of Algarve Portugal/INOV, Lisbon, Portugal), Rui S. Cruz (Instituto Superior Técnico/INESC-ID/INOV, Portugal), Charalampos Z. Patrikakis (Technological Education Institute of Piraeus, Greece), Nikolaos C. Papaoulakis (National Technical University of Athens, Greece), Carlos Tavares Calafate (Universidad Politécnica de Valencia, Spain), Mário S. Nunes (Instituto Superior Técnico/INESC-ID/INOV, Portugal)
• 31- The Internet as a video distribution medium has seen a tremendous growth in recent years. Currently, the transmission of major live events and TV channels over the I...
• 32- 11. Improved Subject Identification in Surveillance Video Using Super-Resolution (pages 315-358)
• 33- Simon Denman (Queensland University of Technology, Australia), Frank Lin (Queensland University of Technology, Australia), Vinod Chandran (Queensland University of Technology, Australia), Sridha Sridharan (Queensland University of Technology, Australia), Clinton Fookes (Queensland University of Technology, Australia)
• 34- The time consuming and labour intensive task of identifying individuals in surveillance video is often challenged by poor resolution and the sheer volume of stored v...
• 35- 12. Medical Quality of Service (m-QoS) and Quality of Experience (m-QoE) for 4G-Health Systems (pages 359-376)
• 36- Robert S. H. Istepanian (Medical Information and Network Technologies Research Centre, Kingston University, UK), Ali Alinejad (Medical Information and Network Technologies Research Centre, Kingston University, UK), Nada Y. Philip (Medical Information and Network Technologies Research Centre, Kingston University, UK)
• 37- It is well known that the evolution of 4G-based mobile multimedia network systems will contribute significantly to future m-health applications that require high ban...
• 38- 13. Peer-to-Peer Network-Based Image Retrieval (pages 377-399)
• 39- Chun-Rong Su (National Taiwan University of Science and Technology, Taiwan), Jiann-Jone Chen (National Taiwan University of Science and Technology, Taiwan)
• 40- Performing Content-Based Image Retrieval (CBIR) in Internet connected databases through
• 41- Topics Covered
• 42- Video coding standards
• 43- Scalable video coding
• 44- Multimedia Communications and Error resilience
• 45- Multiview video coding
• 46- Peer to peer video streaming
• 47- Video surveillance
• 48- Quality of Experience
• 49- Image retrieval

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