42,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in über 4 Wochen
  • Broschiertes Buch

The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology.…mehr

Produktbeschreibung
The use of the Internet and wireless networks to bring multimedia to the consumer continues to expand. With advancement in network technology, requirement for video streaming application is on the rise. In video streaming applications, the quality of service is usually not insured to reduce delay. The after effect of this approach is that there may be damage of a packet during video transmission which can corrupt block of data or even an entire video frame. Generally, User Datagram Protocol (UDP) is used which does not provide assured quality of service (QoS) in video transmission technology. Therefore, there is a requirement for video error reconcealment. The proposed method estimates missing block using reconstructed frame and the next frame for each pixel in the lost frame. Fast processing method to satisfy video latency requirements and low power requirements as devices are limited on battery power supply. Hence, it requires a fast, robust and simple algorithm for error reconcealment. Combination of wavelet transforms and spatio-temporal is implemented.
Autorenporträt
O Dr. Aniruddha Shelotkar trabalha como Chefe do Departamento de Engenharia Electrónica e de Telecomunicações na Faculdade de Engenharia e Tecnologia de Jagadambha, Yavatmal, Maharashtra