Estimation based Error Reduction Scheme (EBERS) for Scalable HEVC to Support Real Time Video Communication in Wireless AD-HOC Networks
Ganashree T. S1, Josephine Prem Kumar2
1Ganashree T. S, Research Scholar, Department of ISE, EPCET, Karnataka, Bangalore, India.
2Dr. Josephine Prem Kumar, HOD, Department of CSE, ISE, EPCEW, Karnataka, Bangalore, India.
Manuscript received on December 20, 2014. | Revised Manuscript received on December 22, 2014. | Manuscript published on December 25, 2014. | PP:1-5 | Volume-3, Issue-2, December 2014. | Retrieval Number: B0875123214
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In any network, any video stream is transmitted from one node to another. In the process various video information may be lost due to the channel errors or any other disturbance coming in the channel between the nodes. This paper presents an encoder based prediction model to know the impact of packet loss during video transmission in wireless network. Here we are implementing Scalable high efficiency video coding (SHVC) for video streaming. SHVC further offers a scalable format that can be readily adapted to meet network conditions or terminal capabilities. We implement and evaluate spatial, temporal, and quality scalability schemes for SHVC on a wireless network. Emerging adaptive streaming technologies will further increase the number of required representations due to additional adaptation points. This paper provides the benefits of adopting the Adaptive Streaming over the Scalable Video Coding (SVC) for spreading video streaming over the Internet. It describes how due to the adoption of SVC network resources are more efficiently used, and thus increasing the quality of service (QOS).
Keywords: SHVC, SVC, QOS, Scalable, Emerging, Adaptive, Streaming, Transmission, wireless network.