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author:

Zheng, Haifeng (Zheng, Haifeng.) [1] (Scholars:郑海峰) | Yu, Lun (Yu, Lun.) [2] (Scholars:余轮)

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EI Scopus

Abstract:

In this paper, we present a novel video coding scheme based on overcomplete motion compensated temporal filtering (OMCTF) for robust video transmission over wireless channel. In this research, we introduce EREC and unequal error protection strategy under the framework of OMCTF. The intrinsic nature of the OMCTF structure not only provides fully scalable features for time-varying mobile wireless channels but also facilitates unequal error protection for robust video transmission. Since the most destructive effect of channel induced error in video communications over error-prone network is due to the loss of synchronization at the decoder, we apply error resilient entropy coding (EREC) to the compressed video bitstream to gain additional error resilience with negligible increase in bit budget. With EREC, the bitstream can be reorganized into fixed-length slots so that the synchronization can be easily regained at the beginning of the next uncorrupted slot, which will greatly limit the error propagation in the scalable video bitstream. To further enhance the robustness for video communication over error-prone channels, we introduce the Rate Compatible Punctured Convolutional (RCPC) codes for the protection of transmitted video over mobile wireless links. Due to the apparent prioritization order in the framework of OMCTF, the RCPC codes can be easily applied to achieve unequal error protection in the proposed OMCTF-based scheme. Integration of these strategies under the framework of OMCTF-based video coding scheme enables us to achieve robust video transmission over mobile wireless channels with an increased error resilience capability. Experimental results have demonstrated the performance of the proposed approach.

Keyword:

Carrier communication Convolutional codes Decoding Demonstrations Errors Image coding Motion compensation Piercing Protection Robustness (control systems) Synchronization Telecommunication Wave filters Wave transmission

Community:

  • [ 1 ] [Zheng, Haifeng]College of Information Technology, Fuzhou University, Fuzhou, Fujian 350002, China
  • [ 2 ] [Yu, Lun]College of Information Technology, Fuzhou University, Fuzhou, Fujian 350002, China

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ISSN: 0277-786X

Year: 2005

Volume: 6015

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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