A replenishment technique for low bit-rate video compression based on wavelets and vector quantization
This paper presents a variable bit-rate encoding scheme developed for digital video compression based on spatiotemporal decomposition and vector quantization. This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The expe...
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| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2001-05, Vol.11 (5), p.658-663 |
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| container_end_page | 663 |
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| container_issue | 5 |
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| container_title | IEEE transactions on circuits and systems for video technology |
| container_volume | 11 |
| creator | Karayiannis, N.B. Li, Y. |
| description | This paper presents a variable bit-rate encoding scheme developed for digital video compression based on spatiotemporal decomposition and vector quantization. This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The experiments indicated that code-vector label replenishment results in a significant reduction of the number of bits required for encoding the frames of image sequences. The proposed video-compression system outperformed the H.261 video-compression standard at high compression ratios, and produced reconstructed video of comparable visual quality at medium and low compression ratios. |
| doi_str_mv | 10.1109/76.920195 |
| format | Article |
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This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The experiments indicated that code-vector label replenishment results in a significant reduction of the number of bits required for encoding the frames of image sequences. The proposed video-compression system outperformed the H.261 video-compression standard at high compression ratios, and produced reconstructed video of comparable visual quality at medium and low compression ratios.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/76.920195</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Compression ratio ; Computer science; control theory; systems ; Encoding ; Exact sciences and technology ; Filter bank ; Frequency ; Image coding ; Image processing ; Image reconstruction ; Image sequences ; Information, signal and communications theory ; Labels ; Pattern recognition. Digital image processing. 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This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The experiments indicated that code-vector label replenishment results in a significant reduction of the number of bits required for encoding the frames of image sequences. The proposed video-compression system outperformed the H.261 video-compression standard at high compression ratios, and produced reconstructed video of comparable visual quality at medium and low compression ratios.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Compression ratio</subject><subject>Computer science; control theory; systems</subject><subject>Encoding</subject><subject>Exact sciences and technology</subject><subject>Filter bank</subject><subject>Frequency</subject><subject>Image coding</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Image sequences</subject><subject>Information, signal and communications theory</subject><subject>Labels</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Pulse modulation</subject><subject>Replenishment</subject><subject>Signal processing</subject><subject>Spatiotemporal phenomena</subject><subject>Telecommunications and information theory</subject><subject>Vector quantization</subject><subject>Video compression</subject><subject>Visual</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0c9rFTEQB_BFFKzVg1dPQUHxsHWS3fw6luIvKHjR8zKbndCUfclrkvdK_etN2aLgQU8ZyGe-wzBd95LDGedgP2h1ZgVwKx91J1xK0wsB8nGrQfLeCC6fds9KuQbgoxn1SefPWab9SjGUqx3Fyiq5qxhuDsR8ymxNt2wOtc9YiR3DQom5tNtnKiWkyGYstLBW3OKRVqqFYVzYkVxtvTcHjDX8xNrk8-6Jx7XQi4f3tPvx6eP3iy_95bfPXy_OL3s3irH2w2w8KGmF8yhQGIdczugAOefSg5E4SwSgYVFaGDkLDaAGr-cFtYFBD6fduy13n1PbodRpF4qjdcVI6VAmy0c1gtWqybf_lC1eGw7i_1DZQapxaPD1X_A6HXJs607WDtwaJe7Hvt-Qy6mUTH7a57DDfDdxmO4vOGk1bRds9s1DIBaHq88YXSi_G6wBPUJTrzYViOjP5xbxCxkQoiM</recordid><startdate>20010501</startdate><enddate>20010501</enddate><creator>Karayiannis, N.B.</creator><creator>Li, Y.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Digital image processing. Computational geometry</topic><topic>Pulse modulation</topic><topic>Replenishment</topic><topic>Signal processing</topic><topic>Spatiotemporal phenomena</topic><topic>Telecommunications and information theory</topic><topic>Vector quantization</topic><topic>Video compression</topic><topic>Visual</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karayiannis, N.B.</creatorcontrib><creatorcontrib>Li, Y.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Karayiannis, N.B.</au><au>Li, Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A replenishment technique for low bit-rate video compression based on wavelets and vector quantization</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2001-05-01</date><risdate>2001</risdate><volume>11</volume><issue>5</issue><spage>658</spage><epage>663</epage><pages>658-663</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>This paper presents a variable bit-rate encoding scheme developed for digital video compression based on spatiotemporal decomposition and vector quantization. This encoding scheme exploits the interframe redundancy present in image sequences by employing replenishment of code-vector labels. The experiments indicated that code-vector label replenishment results in a significant reduction of the number of bits required for encoding the frames of image sequences. The proposed video-compression system outperformed the H.261 video-compression standard at high compression ratios, and produced reconstructed video of comparable visual quality at medium and low compression ratios.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/76.920195</doi><tpages>6</tpages></addata></record> |
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| identifier | ISSN: 1051-8215 |
| ispartof | IEEE transactions on circuits and systems for video technology, 2001-05, Vol.11 (5), p.658-663 |
| issn | 1051-8215 1558-2205 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_28578102 |
| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Artificial intelligence Compression ratio Computer science control theory systems Encoding Exact sciences and technology Filter bank Frequency Image coding Image processing Image reconstruction Image sequences Information, signal and communications theory Labels Pattern recognition. Digital image processing. Computational geometry Pulse modulation Replenishment Signal processing Spatiotemporal phenomena Telecommunications and information theory Vector quantization Video compression Visual |
| title | A replenishment technique for low bit-rate video compression based on wavelets and vector quantization |
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