Adaptive bit rate encoding mechanism based on irregular sampling and side-match vector quantization.
Saved in:
| Title: | Adaptive bit rate encoding mechanism based on irregular sampling and side-match vector quantization. |
|---|---|
| Authors: | Tsai, P.1, Chang, C.-C.2, Lin, M.-H.3, Hu, Y.-C.3 ychu@pu.edu.tw |
| Source: | Imaging Science Journal. 2004, Vol. 52 Issue 2, p73-84. 12p. 3 Black and White Photographs, 4 Diagrams, 4 Charts, 2 Graphs. |
| Subjects: | Vector processing (Computer science), Image compression, Digital media, Internet, Image quality in imaging systems |
| Abstract: | A novel image compression scheme based on the side match vector quantization (SMVQ) scheme is proposed. The goal of this scheme is to improve the image quality of the SMVQ scheme while keeping a low bit rate. The required bit rate of this scheme is variable, and the bit rate can be control by the proposed adaptive bit rate encoding mechanism. Three techniques are applied in this scheme: the local skewness of the image, the adaptive irregular sampling and the modified side-match distortion measurement to satisfy the variant encoding requirements of the various image contents. The experimental results show that the derailment is suppressed and the image quality is approximated to VQ and enhanced ∼2 dB from SMVQ at the same bit rate. Furthermore, the proposed scheme supports the adaptive bit rate encoding approach, which enables it to solve the trade-off between the image quality and the encoding bit rate. [ABSTRACT FROM AUTHOR] |
| Copyright of Imaging Science Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 13473200 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Adaptive bit rate encoding mechanism based on irregular sampling and side-match vector quantization. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tsai%2C+P%2E%22">Tsai, P.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chang%2C+C%2E-C%2E%22">Chang, C.-C.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lin%2C+M%2E-H%2E%22">Lin, M.-H.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hu%2C+Y%2E-C%2E%22">Hu, Y.-C.</searchLink><relatesTo>3</relatesTo><i> ychu@pu.edu.tw</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Imaging+Science+Journal%22">Imaging Science Journal</searchLink>. 2004, Vol. 52 Issue 2, p73-84. 12p. 3 Black and White Photographs, 4 Diagrams, 4 Charts, 2 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Vector+processing+%28Computer+science%29%22">Vector processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+media%22">Digital media</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+in+imaging+systems%22">Image quality in imaging systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A novel image compression scheme based on the side match vector quantization (SMVQ) scheme is proposed. The goal of this scheme is to improve the image quality of the SMVQ scheme while keeping a low bit rate. The required bit rate of this scheme is variable, and the bit rate can be control by the proposed adaptive bit rate encoding mechanism. Three techniques are applied in this scheme: the local skewness of the image, the adaptive irregular sampling and the modified side-match distortion measurement to satisfy the variant encoding requirements of the various image contents. The experimental results show that the derailment is suppressed and the image quality is approximated to VQ and enhanced ∼2 dB from SMVQ at the same bit rate. Furthermore, the proposed scheme supports the adaptive bit rate encoding approach, which enables it to solve the trade-off between the image quality and the encoding bit rate. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Imaging Science Journal is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=13473200 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1179/136821904225011582 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 73 Subjects: – SubjectFull: Vector processing (Computer science) Type: general – SubjectFull: Image compression Type: general – SubjectFull: Digital media Type: general – SubjectFull: Internet Type: general – SubjectFull: Image quality in imaging systems Type: general Titles: – TitleFull: Adaptive bit rate encoding mechanism based on irregular sampling and side-match vector quantization. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tsai, P. – PersonEntity: Name: NameFull: Chang, C.-C. – PersonEntity: Name: NameFull: Lin, M.-H. – PersonEntity: Name: NameFull: Hu, Y.-C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2004 Type: published Y: 2004 Identifiers: – Type: issn-print Value: 13682199 Numbering: – Type: volume Value: 52 – Type: issue Value: 2 Titles: – TitleFull: Imaging Science Journal Type: main |
| ResultId | 1 |
