Paper Info
Title
Residue Coding Technique for Video Compression
Abstract
All the methods available in literature for lossless coding comprises of two steps, one is the prediction scheme that results into prediction error and the second one consists of entropy coding of prediction error samples. In this work we introduce a scheme which adds a step prior to entropy coding technique due to which, the achieved gain in terms of compression is high. The additional step works on the predicted error frames obtained after applying any prediction scheme. The error frames so obtained are remapped into another domain of 8 bits per error sample. While remapping, two files are generated which needs to be compressed, One is the remapped error file itself while the second file consists of overhead information needed to get back the original error samples. The second file consists of binary numbers. The remapped file is compressed by CALIC encoder while the other is kept as it is, causing an addition of one bit per pixel overhead to the compressed file. Results show that instead of going in a traditional manner if we follow the proposed path, there will be a gain of about 0.21 bpp on an average. Additionally the comparison has also been made against other prominent codecs like JPEG and CALIC.
Year
DOI
Venue
2014
10.1109/DCC.2014.92
Data Compression Conference
Keywords
Field
DocType
data compression,video coding,CALIC encoder,binary numbers,entropy coding technique,error samples,lossless coding,prediction error,remapped file,residue coding technique,video compression,Entropy,Motion compensation
Computer vision,Tunstall coding,Coding gain,Entropy encoding,Computer science,Theoretical computer science,Sub-band coding,Artificial intelligence,Data compression,Arithmetic coding,Variable-length code,Context-adaptive binary arithmetic coding
Conference
ISSN
Citations 
PageRank 
1068-0314
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Mohit Vaishnav100.34
Binny Tewani200.34
Anil Kumar Tiwari36517.51