Paper Info
Title
Low bit-rate compression of video and light-field data using coded snapshots and learned dictionaries
Abstract
The method of coded snapshots has been proposed recently for compressive acquisition of video data to overcome the space-time trade-of inherent in video acquisition. The method involves modulation of the light entering the video camera at different time instants during the exposure period by means of a different and randomly generated code pattern at each of those time instants, followed by integration across time, leading to a single coded snapshot image. Given this image and knowledge of the random codes, it is possible to reconstruct the underlying video frames - by means of sparse coding on a suitably learned dictionary. In this paper, we apply a modified version of this idea, proposed formerly in the compressive sensing literature, to the task of compression of videos and light-field data. At low bit rates, we demonstrate markedly better reconstruction fidelity for the same storage costs, in comparison to JPEG2000 and MPEG-4 (H.264) on light-field and video data respectively. Our technique can cope with overlapping blocks of image data, thereby leading to suppression of block artifacts.
Year
DOI
Venue
2015
10.1109/MMSP.2015.7340830
2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)
Keywords
Field
DocType
video low bit-rate compression,light-field data,coded snapshots,learned dictionaries,MPEG-4,JPEG2000,video reconstruction,single coded snapshot image,code pattern,video data compressive acquisition
Computer vision,Video processing,Pattern recognition,Computer science,Motion compensation,Multiview Video Coding,Transform coding,Video tracking,Smacker video,Artificial intelligence,Video camera,Video compression picture types
Conference
ISSN
Citations 
PageRank 
2163-3517
1
0.38
References 
Authors
11
4
Name
Order
Citations
PageRank
Chandrajit Choudhury110.72
Yellamraju Tarun210.38
Ajit Rajwade316018.32
Subhasis Chaudhuri41384133.18