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Human action annotation, modeling and analysis based on implicit user interaction.

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Title: Human action annotation, modeling and analysis based on implicit user interaction.
Authors: Ntalianis, Klimis S.1 kntal@image.ntua.gr, Doulamis, Anastasios D.2 adoulam@cs.ntua.gr, Tsapatsoulis, Nicolas3 nicolas.tsapatsoulis@cut.ac.cy, Doulamis, Nikolaos1 ndoulam@cs.ntua.gr
Source: Multimedia Tools & Applications. Oct2010, Vol. 50 Issue 1, p199-225. 27p. 3 Color Photographs, 2 Black and White Photographs, 5 Diagrams, 4 Graphs.
Subjects: Human behavior, Streaming video & television, Action model (Communication), User interfaces, Semantics, Computer systems
Abstract: This paper proposes an integrated framework for analyzing human actions in video streams. Despite most current approaches that are just based on automatic spatiotemporal analysis of sequences, the proposed method introduces the implicit user-in-the-loop concept for dynamically mining semantics and annotating video streams. This work sets a new and ambitious goal: to recognize, model and properly use “average user’s” selections, preferences and perception, for dynamically extracting content semantics. The proposed approach is expected to add significant value to hundreds of billions of non-annotated or inadequately annotated video streams existing in the Web, file servers, databases etc. Furthermore expert annotators can gain important knowledge relevant to user preferences, selections, styles of searching and perception. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature 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
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  Availability: 0
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DbLabel: Engineering Source
An: 51652726
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Human action annotation, modeling and analysis based on implicit user interaction.
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  Data: <searchLink fieldCode="AR" term="%22Ntalianis%2C+Klimis+S%2E%22">Ntalianis, Klimis S.</searchLink><relatesTo>1</relatesTo><i> kntal@image.ntua.gr</i><br /><searchLink fieldCode="AR" term="%22Doulamis%2C+Anastasios+D%2E%22">Doulamis, Anastasios D.</searchLink><relatesTo>2</relatesTo><i> adoulam@cs.ntua.gr</i><br /><searchLink fieldCode="AR" term="%22Tsapatsoulis%2C+Nicolas%22">Tsapatsoulis, Nicolas</searchLink><relatesTo>3</relatesTo><i> nicolas.tsapatsoulis@cut.ac.cy</i><br /><searchLink fieldCode="AR" term="%22Doulamis%2C+Nikolaos%22">Doulamis, Nikolaos</searchLink><relatesTo>1</relatesTo><i> ndoulam@cs.ntua.gr</i>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Oct2010, Vol. 50 Issue 1, p199-225. 27p. 3 Color Photographs, 2 Black and White Photographs, 5 Diagrams, 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Human+behavior%22">Human behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Streaming+video+%26+television%22">Streaming video & television</searchLink><br /><searchLink fieldCode="DE" term="%22Action+model+%28Communication%29%22">Action model (Communication)</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+systems%22">Computer systems</searchLink>
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  Data: This paper proposes an integrated framework for analyzing human actions in video streams. Despite most current approaches that are just based on automatic spatiotemporal analysis of sequences, the proposed method introduces the implicit user-in-the-loop concept for dynamically mining semantics and annotating video streams. This work sets a new and ambitious goal: to recognize, model and properly use “average user’s” selections, preferences and perception, for dynamically extracting content semantics. The proposed approach is expected to add significant value to hundreds of billions of non-annotated or inadequately annotated video streams existing in the Web, file servers, databases etc. Furthermore expert annotators can gain important knowledge relevant to user preferences, selections, styles of searching and perception. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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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        Value: 10.1007/s11042-009-0369-6
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        Text: English
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      – SubjectFull: Streaming video & television
        Type: general
      – SubjectFull: Action model (Communication)
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      – SubjectFull: User interfaces
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              Text: Oct2010
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