Storyboard-Based Video Browsing Using Color and Concept Indices

W.O. Hürst; Algernon Ip Vai Ching; K. Schoeffmann; Manfred J. Primus

doi:10.1007/978-3-319-51814-5_45

Storyboard-Based Video Browsing Using Color and Concept Indices

W.O. Hürst, Algernon Ip Vai Ching, K. Schoeffmann, Manfred J. Primus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We present an interface for interactive video browsing where users visually skim storyboard representations of the files in search for known items (known-item search tasks) and textually described subjects, objects, or events (ad-hoc search tasks). Individual segments of the video are represented as a color-sorted storyboard that can be addressed via a color-index. Our storyboard representation is optimized for quick visual inspections considering results from our ongoing research. In addition, a concept based-search is used to filter out parts of the storyboard containing the related concept(s), thus complementing the human-based visual inspection with a semantic, content-based annotation.

Original language	English
Title of host publication	Lecture Notes in Computer Science
Subtitle of host publication	MultiMedia Modeling. MMM 2017
Publisher	Springer
Pages	963-966
Volume	10133
ISBN (Electronic)	978-3-319-51814-5
ISBN (Print)	978-3-319-51813-8
DOIs	https://doi.org/10.1007/978-3-319-51814-5_45
Publication status	Published - 2017

Keywords

video browsing
visual inspection
concept-based indexing

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10.1007/978-3-319-51814-5_45

storyboardFinal published version, 974 KBLicence: Taverne

Cite this

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title = "Storyboard-Based Video Browsing Using Color and Concept Indices",

abstract = "We present an interface for interactive video browsing where users visually skim storyboard representations of the files in search for known items (known-item search tasks) and textually described subjects, objects, or events (ad-hoc search tasks). Individual segments of the video are represented as a color-sorted storyboard that can be addressed via a color-index. Our storyboard representation is optimized for quick visual inspections considering results from our ongoing research. In addition, a concept based-search is used to filter out parts of the storyboard containing the related concept(s), thus complementing the human-based visual inspection with a semantic, content-based annotation.",

keywords = "video browsing, visual inspection, concept-based indexing",

author = "W.O. H{\"u}rst and \{Ip Vai Ching\}, Algernon and K. Schoeffmann and Primus, \{Manfred J.\}",

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booktitle = "Lecture Notes in Computer Science",

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TY - GEN

T1 - Storyboard-Based Video Browsing Using Color and Concept Indices

AU - Hürst, W.O.

AU - Ip Vai Ching, Algernon

AU - Schoeffmann, K.

AU - Primus, Manfred J.

PY - 2017

Y1 - 2017

N2 - We present an interface for interactive video browsing where users visually skim storyboard representations of the files in search for known items (known-item search tasks) and textually described subjects, objects, or events (ad-hoc search tasks). Individual segments of the video are represented as a color-sorted storyboard that can be addressed via a color-index. Our storyboard representation is optimized for quick visual inspections considering results from our ongoing research. In addition, a concept based-search is used to filter out parts of the storyboard containing the related concept(s), thus complementing the human-based visual inspection with a semantic, content-based annotation.

AB - We present an interface for interactive video browsing where users visually skim storyboard representations of the files in search for known items (known-item search tasks) and textually described subjects, objects, or events (ad-hoc search tasks). Individual segments of the video are represented as a color-sorted storyboard that can be addressed via a color-index. Our storyboard representation is optimized for quick visual inspections considering results from our ongoing research. In addition, a concept based-search is used to filter out parts of the storyboard containing the related concept(s), thus complementing the human-based visual inspection with a semantic, content-based annotation.

KW - video browsing

KW - visual inspection

KW - concept-based indexing

U2 - 10.1007/978-3-319-51814-5_45

DO - 10.1007/978-3-319-51814-5_45

M3 - Conference contribution

SN - 978-3-319-51813-8

VL - 10133

SP - 963

EP - 966

BT - Lecture Notes in Computer Science

PB - Springer

ER -

Storyboard-Based Video Browsing Using Color and Concept Indices

Abstract

Keywords

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Cite this