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  <titleInfo>
    <title>Image Analysis and Processing - ICIAP 2023 Workshops</title>
    <subTitle>Udine, Italy, September 11–15, 2023, Proceedings, Part I</subTitle>
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    <namePart>Foresti, Gian Luca.</namePart>
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    <namePart>Fusiello, Andrea.</namePart>
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    <namePart>Hancock, Edwin.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XXI, 511 p. 190 illus., 171 illus. in color. online resource.</extent>
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  <abstract>The two-volume set LNCS 14365 and 14366 constitutes the papers of workshops hosted by the 22nd International Conference on Image Analysis and Processing, ICIAP 2023, held in Udine, Italy, in September 2023. In total, 72 workshop papers and 10 industrial poster session papers have been accepted for publication. Part I of the set, volume 14365, contains 10 papers from the industrial poster session, and 31 papers from the following workshops: – Advances in Gaze Analysis, Visual attention and Eye-gaze modelling (AGAVE) – Beyond Vision: Physics meets AI (BVPAI) – Automatic Affect Analysis and Synthesis (3AS) – International Contest on Fire Detection (ONFIRE) – Recent Advances in Digital Security: Biometrics and Forensics (BioFor) – Computer Vision for Environment Monitoring and Preservation (CVEMP) – Generation of Human Face and Body Behavior (GHB).</abstract>
  <note type="statement of responsibility">edited by Gian Luca Foresti, Andrea Fusiello, Edwin Hancock.</note>
  <subject authority="lcsh">
    <topic>Computer vision</topic>
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  <subject authority="lcsh">
    <topic>Computer engineering</topic>
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  <subject authority="lcsh">
    <topic>Computer networks </topic>
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    <topic>Data processing</topic>
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  <subject authority="lcsh">
    <topic>Pattern recognition systems</topic>
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  <subject>
    <topic>Computer Vision</topic>
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  <subject>
    <topic>Computer Engineering and Networks</topic>
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  <subject>
    <topic>Machine Learning</topic>
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  <subject>
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  <subject>
    <topic>Automated Pattern Recognition</topic>
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      <title>Lecture Notes in Computer Science, 14365</title>
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  <identifier type="isbn">9783031510236</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-51023-6</identifier>
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