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http://nopr.niscpr.res.in/handle/123456789/4993Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Singhai, Jyoti | - |
| dc.contributor.author | Singhai, Rakesh | - |
| dc.date.accessioned | 2009-06-30T03:55:25Z | - |
| dc.date.available | 2009-06-30T03:55:25Z | - |
| dc.date.issued | 2006-12 | - |
| dc.identifier.issn | 0975-1084 (Online); 0022-4456 (Print) | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/4993 | - |
| dc.description | 982-985 | en_US |
| dc.description.abstract | Data compression is one of the enabling technologies for the application of communication technology with ever growing Internet, explosive development of mobile communication and the ever-increasing impact of video communication to store the data in a compact way for minimum cost of storage and transmission. There are various compression techniques available which are capable of application specific large compression ratios. This paper presents the Multi Stage Vector Quantization (MSVQ) based on LBG algorithm and Partial Distance Search (PDS) method, which is most suitable for faster encoding required in multimedia applications. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | CSIR | en_US |
| dc.source | JSIR Vol.65(12) [December 2006] | en_US |
| dc.subject | LBG algorithm | en_US |
| dc.subject | Multi stage vector quantization | en_US |
| dc.subject | PDS method | en_US |
| dc.subject | Single stage vector quantization | en_US |
| dc.title | MSVQ: A data compression technique for multimedia applications | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | JSIR Vol.65(12) [December 2006] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| JSIR 65(12) 982-985.pdf | 340.3 kB | Adobe PDF | View/Open |
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