Modified Boundary Matching algorithm for Error detection and Error Concealment for Video Communication
Ketki C. Pathak1, Jignesh N. Sarvaiya2, Anand D. Darji3
1Ketki C. Pathak, Electronics & Communication Engineering Department, Sarvajanik College of Engineering & Technology, Gujarat Technological University, Surat, India.
2Jignesh N Sarvaiya, Electronics Engineering Department, Sardar Vallabbhai National Institute of Technology(S.V.N.I.T.) , Surat, India.
3Anand D. Darji, Electronics Engineering Department, Sardar Vallabbhai National Institute of Technology(S.V.N.I.T.) , Surat, India..
Manuscript received on 02 July 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 August 2019 | PP: 642-651 | Volume-8 Issue-10, August 2019 | Retrieval Number: J87630881019/2019©BEIESP | DOI: 10.35940/ijitee.J8763.0881019
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© The Authors. 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: :As the demand of video transmission over communication network has grown rapidly, the data compression and error correction in video processing have shown significant improvement day by day. When the error occurs in a single frame, the visual quality of the subsequent frames gets degraded due to error propagation. Thus, the error control techniques are required for the recovery. Concealment of error at the receiver (decoder) side feats the spatial and temporal characteristics of the frame. Without the requirement of the extra bandwidth and retransmission delay, it enhances the quality of the reconstructed video. However, the output of the error concealment may get affected if the error located before is misleading. Thus error detection also plays an important role while reconstructing the video. However, the output of the error concealment may get affected if the error located before is misleading. This paper proposes error detection and concealment approach for the recovery of lost Macro Block (MB) in video. The spatio-temporal techniques has been used for the error detection followed by the MB type decision applied for classifying the damaged macro block .For the concealment method a new method i.e. Modified Spatio-Temporal Boundary Matching Algorithm (MSTBMA) has been proposed. The proposed work is compared with various existing method for spatial and temporal error concealment. The comparison has been done for various types of error such as block error (single, multiple), burst error and random error generated by the software. Performance is improves in terms of PSNR and visual quality by considering the type of lost MB.
Keywords: Macro block, Error Detection, Spatio-temporal error, Temporal Error detection, Error concealment, Modified Boundary Matching algorithm.
Scope of the Article: Matching algorithm