Paper
29 January 2007 FMOE-MR: content-driven multiresolution MPEG-4 fine grained scalable layered video encoding
S. Chattopadhyay, X. Luo, S. M. Bhandarkar, K. Li
Author Affiliations +
Proceedings Volume 6504, Multimedia Computing and Networking 2007; 650404 (2007) https://doi.org/10.1117/12.705927
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
The MPEG-4 Fine Grained Scalability (FGS) profile aims at scalable layered video encoding, in order to ensure efficient video streaming in networks with fluctuating bandwidths. In this paper, we propose a novel technique, termed as FMOEMR, which delivers significantly improved rate distortion performance compared to existing MPEG-4 Base Layer encoding techniques. The video frames are re-encoded at high resolution at semantically and visually important regions of the video (termed as Features, Motion and Objects) that are defined using a mask (FMO-Mask) and at low resolution in the remaining regions. The multiple-resolution re-rendering step is implemented such that further MPEG-4 compression leads to low bit rate Base Layer video encoding. The Features, Motion and Objects Encoded-Multi- Resolution (FMOE-MR) scheme is an integrated approach that requires only encoder-side modifications, and is transparent to the decoder. Further, since the FMOE-MR scheme incorporates "smart" video preprocessing, it requires no change in existing MPEG-4 codecs. As a result, it is straightforward to use the proposed FMOE-MR scheme with any existing MPEG codec, thus allowing great flexibility in implementation. In this paper, we have described, and implemented, unsupervised and semi-supervised algorithms to create the FMO-Mask from a given video sequence, using state-of-the-art computer vision algorithms.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Chattopadhyay, X. Luo, S. M. Bhandarkar, and K. Li "FMOE-MR: content-driven multiresolution MPEG-4 fine grained scalable layered video encoding", Proc. SPIE 6504, Multimedia Computing and Networking 2007, 650404 (29 January 2007); https://doi.org/10.1117/12.705927
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Video

Video coding

Computer programming

Video compression

Visualization

Distortion

Quantization

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