Video transcoding technique using tree-based multi-level block partitioning in OFDM network

被引:0
作者
Awaghad, Shakti [1 ]
Pokle, Sanjay B. [2 ]
机构
[1] GHRCE
[2] Department of Electronics and Communication, RCOEM
来源
Awaghad, S. (shakti_awaghad@yahoo.co.in) | 1600年 / Inderscience Enterprises Ltd.卷 / 05期
关键词
Affine-16; Block partitioning; Component; H.264; Video transcoding;
D O I
10.1504/IJAMC.2014.060495
中图分类号
学科分类号
摘要
Performing an efficient transcoding of large sizes of video in highly unpredictable and dynamic wireless network like orthogonal frequencydivision multiplexing (OFDM) is a major challenge in the area of video transcoding. Such issues can be addressed if an efficient transcoder is designed that has smart access to multiple coding parameters and statistics of input video file. Therefore, the proposed system introduces a transcoding technique that considers performing large size video file in OFDM. The accomplishment of this technique is done using multi-level frame block partitioning, a tree-based approach that assist to have better formulation of non-rigid and complex mobility for evaluating non-translational mobility between blocks. Massively large size blocks are considered using standard dataset to perform an efficient transcoding. The results are evaluated for peak signal-to-noise ratio (PSNR) and bit rate for visualising the perceptual quality of the transcoded frames along with simultaneous comparison with frequently used prior work considering H.264 and Affine-16 standards. Copyright © 2014 Inderscience Enterprises Ltd.
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页码:195 / 210
页数:15
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共 28 条
  • [1] Arnold J., Frater M., Pickering M., Digital Television Technology and Standards, (2007)
  • [2] Baker S., Matthews I., Lucas-kanade 20 years on: A unifying framework, International Journal of Computer Vision, 56, 3, pp. 221-255, (2004)
  • [3] Cantos R.G., Martinez J.L., Cuenca P., Garrido A., Temporal video transcoding for digital tv broadcasting, 5th Joint IFIP Wireless and Mobile Networking Conference (WMNC), pp. 95-100, (2012)
  • [4] Chang S.F., Optimal video adaptation and skimming using a utility-based framework, Tyrrhenian International Workshop Digital Communications, pp. 213-220, (2002)
  • [5] Geng M., Zhang X., Tian Y., Liang L., Huang T., A fast and performance-maintained transcoding method based on background modeling for surveillance video, IEEE International Conference Multimedia and Expo, pp. 61-66, (2012)
  • [6] Ghanbari M., Two-layer coding of video signals for vbr networks, IEEE Journal of selected Areas of Communication, 7, 5, pp. 771-781, (1989)
  • [7] Hung K.-W., Siu W.-C., Real-time interpolation using bilateral filter for image zoom or video up-scaling/transcoding, Consumer Electronics (ICCE), IEEE International Conference, pp. 67-68, (2012)
  • [8] ISO/IEC 14496-10 and ITU-T Rec. H.264, (2003)
  • [9] Jokhio F., Ashraf A., Lafond S., Porres I., Lilius J., Prediction-based dynamic resource allocation for video transcoding in cloud computing, International Conference on Parallel, Distributed, and Network-Based Processing, pp. 254-261, (2013)
  • [10] Jokhio F., Deneke T., Lafond S., Lilius J., Bit rate reduction video transcoding with distributed computing, Euromicro International Conference on Parallel, Distributed and Network-based Processing, pp. 206-212, (2012)