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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
    <description>Faculty Publications- Conference Papers</description>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>A Deterministic Key-Frame Indexing and Selection for Surveillance Video Summarization</text>
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        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Adaptive threshold; Similarity index; Surveillance video Summarization</text>
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          <name>Description</name>
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              <text>Video data is voluminous and impacts the data storage devices as there are CCTV surveillance videos being created every minute and stored continuously. Due to this increase in data there is a need to create semantic information out of the frames that are being stored. Video Summarization is a process that continuously monitors changes and helps in reducing the number of frames being stored. This work enables summarization to be carried out based on selecting threshold-based system that can select key-frames ideally suit for storage and further analysis. Initially a Global threshold based on Otsus method is carried out for all frames of a surveillance video and based on the set threshold a retrospective comparison is done on each frame based on statistical methods to converge on determining the keyframes. A similarity index is generated based on the iterative comparison of frames based on global and local threshold comparison. The local threshold is indexed based on Analysing Method Patterns to Locate Errors(AMPLE), An-derbergs D(AbD), Cohens Kappa(CK), Tanimoto Similarity(TS), Tversky feature contrast model(TFCM), Pearson coefficient of mean square contingency(Pmsc). The Global threshold is updated each time a keyframe is selected based on the comparison of local and global threshold. The results are compared with five surveillance videos and six methods to identify keyframes Selection Rate is the metric used for calculating the performance.  2019 IEEE.</text>
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          <name>Creator</name>
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              <text>Moses T.M.; Balachandran K.</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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            <elementText elementTextId="186395">
              <text>2019-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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              <text>&lt;a href="https://doi.org/10.1109/IconDSC.2019.8816901" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IconDSC.2019.8816901&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782735&amp;amp;doi=10.1109%2FIconDSC.2019.8816901&amp;amp;partnerID=40&amp;amp;md5=6062138848faa84baa0d1041e2fd8c8d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072782735&amp;amp;doi=10.1109%2fIconDSC.2019.8816901&amp;amp;partnerID=40&amp;amp;md5=6062138848faa84baa0d1041e2fd8c8d&lt;/a&gt;</text>
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          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
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            <elementText elementTextId="186397">
              <text>Restricted Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISBN: 978-153869319-3</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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          <name>Language</name>
          <description>A language of the resource</description>
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              <text>English</text>
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          <name>Type</name>
          <description>The nature or genre of the resource</description>
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              <text>Conference paper</text>
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              <text>Moses T.M., CHRIST, Deemed to be University, Bengaluru, India; Balachandran K., CHRIST, Deemed to be University, Bengaluru, India</text>
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