Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection

M.A. Hudelist; C. Cobârzan; C. Beecks; Rob van de Werken; S. Kletz; W.O. Hürst; K. Schoeffmann

doi:10.1007/978-3-319-27674-8_40

Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection

M.A. Hudelist^*, C. Cobârzan, C. Beecks, Rob van de Werken, S. Kletz, W.O. Hürst, K. Schoeffmann

^*Corresponding author for this work

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

Abstract

We propose a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Advanced video retrieval and filtering (e.g., via color and motion signatures, and visual concepts) on a desktop is combined with a storyboard-based interface design on a tablet optimized for quick, brute-force visual inspection. Both modules run independently but exchange information to significantly minimize the data for visual inspection and compensate mistakes made by the search algorithms.

Original language	English
Title of host publication	MultiMedia Modeling
Subtitle of host publication	22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings
Publisher	Springer
Pages	400-405
Volume	2
ISBN (Electronic)	978-3-319-27674-8
ISBN (Print)	978-3-319-27673-1
DOIs	https://doi.org/10.1007/978-3-319-27674-8_40
Publication status	Published - 2016

Publication series

Name	Lecture Notes in Computer Science
Volume	9517

Keywords

Video retrieval
Interactive search
Interaction design
Feature signatures

Access to Document

10.1007/978-3-319-27674-8_40

CollaborativeFinal published version, 1.19 MBLicence: Taverne

Cite this

Hudelist, M. A., Cobârzan, C., Beecks, C., van de Werken, R., Kletz, S., Hürst, W. O., & Schoeffmann, K. (2016). Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. In MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings (Vol. 2, pp. 400-405). (Lecture Notes in Computer Science ; Vol. 9517). Springer. https://doi.org/10.1007/978-3-319-27674-8_40

@inproceedings{a7d61d926d844e1084be701c8813f8bf,

title = "Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection",

abstract = "We propose a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Advanced video retrieval and filtering (e.g., via color and motion signatures, and visual concepts) on a desktop is combined with a storyboard-based interface design on a tablet optimized for quick, brute-force visual inspection. Both modules run independently but exchange information to significantly minimize the data for visual inspection and compensate mistakes made by the search algorithms.",

keywords = "Video retrieval, Interactive search, Interaction design, Feature signatures",

author = "M.A. Hudelist and C. Cob{\^a}rzan and C. Beecks and {van de Werken}, Rob and S. Kletz and W.O. H{\"u}rst and K. Schoeffmann",

year = "2016",

doi = "10.1007/978-3-319-27674-8_40",

language = "English",

isbn = "978-3-319-27673-1",

volume = "2",

series = "Lecture Notes in Computer Science ",

publisher = "Springer",

pages = "400--405",

booktitle = "MultiMedia Modeling",

}

Hudelist, MA, Cobârzan, C, Beecks, C, van de Werken, R, Kletz, S, Hürst, WO & Schoeffmann, K 2016, Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. in MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings. vol. 2, Lecture Notes in Computer Science , vol. 9517, Springer, pp. 400-405. https://doi.org/10.1007/978-3-319-27674-8_40

Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. / Hudelist, M.A.; Cobârzan, C.; Beecks, C. et al.
MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings. Vol. 2 Springer, 2016. p. 400-405 (Lecture Notes in Computer Science ; Vol. 9517).

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

TY - GEN

T1 - Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection

AU - Hudelist, M.A.

AU - Cobârzan, C.

AU - Beecks, C.

AU - van de Werken, Rob

AU - Kletz, S.

AU - Hürst, W.O.

AU - Schoeffmann, K.

PY - 2016

Y1 - 2016

N2 - We propose a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Advanced video retrieval and filtering (e.g., via color and motion signatures, and visual concepts) on a desktop is combined with a storyboard-based interface design on a tablet optimized for quick, brute-force visual inspection. Both modules run independently but exchange information to significantly minimize the data for visual inspection and compensate mistakes made by the search algorithms.

AB - We propose a novel video browsing approach that aims at optimally integrating traditional, machine-based retrieval methods with an interface design optimized for human browsing performance. Advanced video retrieval and filtering (e.g., via color and motion signatures, and visual concepts) on a desktop is combined with a storyboard-based interface design on a tablet optimized for quick, brute-force visual inspection. Both modules run independently but exchange information to significantly minimize the data for visual inspection and compensate mistakes made by the search algorithms.

KW - Video retrieval

KW - Interactive search

KW - Interaction design

KW - Feature signatures

U2 - 10.1007/978-3-319-27674-8_40

DO - 10.1007/978-3-319-27674-8_40

M3 - Conference contribution

SN - 978-3-319-27673-1

VL - 2

T3 - Lecture Notes in Computer Science

SP - 400

EP - 405

BT - MultiMedia Modeling

PB - Springer

ER -

Hudelist MA, Cobârzan C, Beecks C, van de Werken R, Kletz S, Hürst WO et al. Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection. In MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings. Vol. 2. Springer. 2016. p. 400-405. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-27674-8_40

Collaborative Video Search Combining Video Retrieval with Human-Based Visual Inspection

Abstract

Publication series

Keywords

Access to Document

Fingerprint

Cite this