Share Email Print

Proceedings Paper

FMOE-MR: content-driven multiresolution MPEG-4 fine grained scalable layered video encoding
Author(s): S. Chattopadhyay; X. Luo; S. M. Bhandarkar; K. Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6504, Multimedia Computing and Networking 2007, 650404 (29 January 2007); doi: 10.1117/12.705927
Show Author Affiliations
S. Chattopadhyay, Univ. of Georgia (United States)
X. Luo, Univ. of Georgia (United States)
S. M. Bhandarkar, Univ. of Georgia (United States)
K. Li, Univ. of Georgia (United States)

Published in SPIE Proceedings Vol. 6504:
Multimedia Computing and Networking 2007
Roger Zimmermann; Carsten Griwodz, Editor(s)

© SPIE. Terms of Use
Back to Top