Open access peer-reviewed chapter

User-aware Video Coding Based on Semantic Video Understanding and Enhancing

By Yu-Tzu Lin and Chia-Hu Chang

Submitted: October 12th 2010Reviewed: March 8th 2011Published: July 5th 2011

DOI: 10.5772/16498

Downloaded: 1563

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Yu-Tzu Lin and Chia-Hu Chang (July 5th 2011). User-aware Video Coding Based on Semantic Video Understanding and Enhancing, Recent Advances on Video Coding, Javier Del Ser Lorente, IntechOpen, DOI: 10.5772/16498. Available from:

chapter statistics

1563total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

A Tutorial on H.264/SVC Scalable Video Coding and its Tradeoff between Quality, Coding Efficiency and Performance

By Iraide Unanue, Inigo Urteaga, Ronaldo Husemann, Javier Del Ser, Valter Roesler, Aitor Rodriguez and Pedro Sanchez

Related Book

First chapter

Using Multiobjective Genetic Algorithm and Multicriteria Analysis for the Production Scheduling of a Brazilian Garment Company

By Dalessandro Soares Vianna, Igor Carlos Pulini and Carlos Bazilio Martins

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us