Bit-saving path for progressive transmission.

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Title: Bit-saving path for progressive transmission.
Authors: Jose A. Garcia, Rosa Rodriguez-Sa´nchez, J. Fdez-Valdivia, Javier Martinez-Baena
Source: Optical Engineering. Nov2007, Vol. 46 Issue 11, p17001-17001. 1p.
Subjects: Imaging systems, Image analysis, Image transmission, Algorithms
Abstract: Under oscillatory behavior of the net profit of transmission over time, heavy losses may be incurred in the form of foregone opportunities in the future if the transmission system prefers to transmit low-cost bit resources at this time over conserving for the future. This oscillatory behavior over time necessitates devising a stabilizing scheme for its optimal use in the transmission. Here we examine an optimal bit-saving path over time. During an initial period, the transmission system prioritizes exhaustible bit reserves of low transmission cost at the maximum available capacity and allocates gross transmission income partly to transmission and the rest is saved and invested to increase the degree of knowledge; and in the second period, once these low-cost bit reserves are exhausted, it is necessary to switch to a source of transmission solely from returns on current degree of knowledge, which initially includes highly insignificant bit streams. For knowledge-poor transmission systems the optimal bit-saving path differs sharply from that for region-based approaches with higher share of knowledge in the transmission’s initial wealth. Also, the bit-saving path is highly dependent on the low-cost bitstreams life. We give a comparison in performance of the state of the art codec in progressive transmission against an algorithm which implements the saving path. It appears that the bit saving may be used with acceptable image fidelity. [ABSTRACT FROM AUTHOR]
Copyright of Optical Engineering is the property of SPIE - International Society of Optical Engineering 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.)
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DbLabel: Engineering Source
An: 28227247
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  Data: <searchLink fieldCode="AR" term="%22Jose+A%2E+Garcia%22">Jose A. Garcia</searchLink><br /><searchLink fieldCode="AR" term="%22Rosa+Rodriguez-Sa´nchez%22">Rosa Rodriguez-Sa´nchez</searchLink><br /><searchLink fieldCode="AR" term="%22J%2E+Fdez-Valdivia%22">J. Fdez-Valdivia</searchLink><br /><searchLink fieldCode="AR" term="%22Javier+Martinez-Baena%22">Javier Martinez-Baena</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Optical+Engineering%22">Optical Engineering</searchLink>. Nov2007, Vol. 46 Issue 11, p17001-17001. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Image+transmission%22">Image transmission</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Data: Under oscillatory behavior of the net profit of transmission over time, heavy losses may be incurred in the form of foregone opportunities in the future if the transmission system prefers to transmit low-cost bit resources at this time over conserving for the future. This oscillatory behavior over time necessitates devising a stabilizing scheme for its optimal use in the transmission. Here we examine an optimal bit-saving path over time. During an initial period, the transmission system prioritizes exhaustible bit reserves of low transmission cost at the maximum available capacity and allocates gross transmission income partly to transmission and the rest is saved and invested to increase the degree of knowledge; and in the second period, once these low-cost bit reserves are exhausted, it is necessary to switch to a source of transmission solely from returns on current degree of knowledge, which initially includes highly insignificant bit streams. For knowledge-poor transmission systems the optimal bit-saving path differs sharply from that for region-based approaches with higher share of knowledge in the transmission’s initial wealth. Also, the bit-saving path is highly dependent on the low-cost bitstreams life. We give a comparison in performance of the state of the art codec in progressive transmission against an algorithm which implements the saving path. It appears that the bit saving may be used with acceptable image fidelity. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Optical Engineering is the property of SPIE - International Society of Optical Engineering 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.)
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RecordInfo BibRecord:
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        Value: 10.1117/1.2802151
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: 17001
    Subjects:
      – SubjectFull: Imaging systems
        Type: general
      – SubjectFull: Image analysis
        Type: general
      – SubjectFull: Image transmission
        Type: general
      – SubjectFull: Algorithms
        Type: general
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      – TitleFull: Bit-saving path for progressive transmission.
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            NameFull: Jose A. Garcia
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            NameFull: Rosa Rodriguez-Sa´nchez
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            NameFull: J. Fdez-Valdivia
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            NameFull: Javier Martinez-Baena
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            – D: 01
              M: 11
              Text: Nov2007
              Type: published
              Y: 2007
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              Value: 46
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              Value: 11
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            – TitleFull: Optical Engineering
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