Name
Abstract | ||
|---|---|---|
In this work, we propose a method of lossless video coding which not has only the decoder simple but encoder is also simple, unlike other reported methods which has computationally complex encoder. The computation is mainly due to not using motion compensation method, which is computationally complex process. The coefficient of the predictors are obtained based on an averaging process and then the thus obtained set of switched predictors is used for prediction. The parameters have been obtained after undergoing a statistical process of averaging so that proper relationship can be established between the predicted pixel and their context. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/DCC.2013.63 | DCC |
Keywords | Field | DocType |
lossless video coding,averaging process,proper relationship,statistical process,optimal switched adaptive prediction,computationally complex encoder,computationally complex process,motion compensation method,motion compensation,statistical analysis,switches,least square method,data compression,gap,decoding,decoder,entropy,video compression | Computer vision,Tunstall coding,Coding tree unit,Context-adaptive variable-length coding,Computer science,Motion compensation,Theoretical computer science,Encoder,Artificial intelligence,Data compression,Adaptive coding,Context-adaptive binary arithmetic coding | Conference |
ISSN | Citations | PageRank |
1068-0314 | 1 | 0.37 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dinesh Kumar Chobey | 1 | 4 | 2.25 |
| Mohit Vaishnav | 2 | 3 | 1.16 |
| Anil Kumar Tiwari | 3 | 65 | 17.51 |