SPATIO-TEMPORAL ERROR CONCEALMENT ALGORITHMS FOR ENCODED VIDEO STREAMS FOR REAL-TIME APPLICATIONS
| Autor: | Amany Sarhan, Rasha Orban Mahmoud, Mohamed T. Faheem |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Computational complexity theory
Computer science business.industry Real-time computing Data_CODINGANDINFORMATIONTHEORY Computer Graphics and Computer-Aided Design Computer Science Applications Video compression picture types Transmission (telecommunications) Hardware and Architecture Video tracking The Internet business Algorithm Software Decoding methods Block (data storage) Communication channel |
| Zdroj: | International Journal of Computers and Applications. 34 |
| ISSN: | 1925-7074 |
| Popis: | Multimedia is one of the most important aspects of the information era. With the advent of the multimedia age and the spread of Internet, video storage and streaming has been gaining a lot of popularity. When transmitting compressed video over a data network channel errors affect the decoding process. Video transmission puts constraints on data rate, computational complexity and delay. Unreliable channels add more challenges to this task as compressed video is extremely vulnerable to transmission errors. Problems arising from imperfect transmission of block coded video frame sequence result in lost blocks. This paper presents and implements a set of decoder side spatio-temporal algorithms that aim to enhance the speed and quality of the error concealment process. The results obtained by these algorithms are much faster and achieve better performance compared to the existing algorithms, which make them more suitable for real-time applications. |
| Databáze: | OpenAIRE |
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