Title
MIJ2K: Enhanced video transmission based on conditional replenishment of JPEG2000 tiles with motion compensation
Abstract
A video compressed as a sequence of JPEG2000 images can achieve the scalability, flexibility, and accessibility that is lacking in current predictive motion-compensated video coding standards. However, streaming JPEG2000-based sequences would consume considerably more bandwidth. With the aim of solving this problem, this paper describes a new patent pending method, called MIJ2K. MIJ2K reduces the inter-frame redundancy present in common JPEG2000 sequences (also called MJP2). We apply a real-time motion detection system to perform conditional tile replenishment. This will significantly reduce the bit rate necessary to transmit JPEG2000 video sequences, also improving their quality. The MIJ2K technique can be used both to improve JPEG2000-based real-time video streaming services or as a new codec for video storage. MIJ2K relies on a fast motion compensation technique, especially designed for real-time video streaming purposes. In particular, we propose transmitting only the tiles that change in each JPEG2000 frame. This paper describes and evaluates the method proposed for real-time tile change detection, as well as the overall MIJ2K architecture. We compare MIJ2K against other intra-frame codecs, like standard Motion JPEG2000, Motion JPEG, and the latest H.264-Intra, comparing performance in terms of compression ratio and video quality, measured by standard peak signal-to-noise ratio, structural similarity and visual quality metric metrics.
Year
DOI
Venue
2011
10.1016/j.jvcir.2011.02.002
J. Visual Communication and Image Representation
Keywords
Field
DocType
current predictive motion-compensated video,jpeg2000 image,video quality,mij2k architecture,motion compensation,conditional replenishment,mij2k technique,enhanced video transmission,jpeg2000-based real-time video,jpeg2000 tile,video storage,real-time video,jpeg2000 video sequence,jpeg2000 frame,real time,peak signal to noise ratio,interframe,video compression,motion,motion jpeg,jpeg2000,change detection,compression ratio,structural similarity
Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Multiview Video Coding,Real-time computing,Video tracking,Artificial intelligence,Video quality,Video compression picture types,Rate–distortion optimization
Journal
Volume
Issue
ISSN
22
4
1047-3203
Citations 
PageRank 
References 
1
0.36
17
Authors
3
Name
Order
Citations
PageRank
Alvaro Luis Bustamante1133.70
José M. Molina López25312.09
Miguel A. Patricio330538.05