The shanghai-hongkong team at mediaeval2012: Violent scene detection using trajectory-based features

Yu-Gang Jiang; Qi Dai; Chun Chet Tan; Xiangyang Xue; Chong-Wah Ngo

The shanghai-hongkong team at mediaeval2012: Violent scene detection using trajectory-based features

Yu-Gang Jiang, Qi Dai, Chun Chet Tan, Xiangyang Xue, Chong-Wah Ngo

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

7 Citations (Scopus)

Abstract

The Violent Scene Detection task offers a very practical chal- lenge in detecting complex and diverse violent video clips in movies. In this working note paper, we will briey describe our system and discuss the results, which achieved top per- formance in mAP

Original language	English
Journal	CEUR Workshop Proceedings
Volume	927
Publication status	Published - 2012
Event	Multimedia Benchmark Workshop, MediaEval 2012 - Pisa, Italy Duration: 4 Oct 2012 → 5 Oct 2012

Research Keywords

Movie
Multi-modality
Temporal smoothing
Trajectory-based feature
Violent scene detection

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title = "The shanghai-hongkong team at mediaeval2012: Violent scene detection using trajectory-based features",

abstract = "The Violent Scene Detection task offers a very practical chal- lenge in detecting complex and diverse violent video clips in movies. In this working note paper, we will briey describe our system and discuss the results, which achieved top per- formance in mAP",

keywords = "Movie, Multi-modality, Temporal smoothing, Trajectory-based feature, Violent scene detection",

author = "Yu-Gang Jiang and Qi Dai and Tan, {Chun Chet} and Xiangyang Xue and Chong-Wah Ngo",

year = "2012",

language = "English",

volume = "927",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "Multimedia Benchmark Workshop, MediaEval 2012 ; Conference date: 04-10-2012 Through 05-10-2012",

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TY - JOUR

T1 - The shanghai-hongkong team at mediaeval2012

T2 - Multimedia Benchmark Workshop, MediaEval 2012

AU - Jiang, Yu-Gang

AU - Dai, Qi

AU - Tan, Chun Chet

AU - Xue, Xiangyang

AU - Ngo, Chong-Wah

PY - 2012

Y1 - 2012

N2 - The Violent Scene Detection task offers a very practical chal- lenge in detecting complex and diverse violent video clips in movies. In this working note paper, we will briey describe our system and discuss the results, which achieved top per- formance in mAP

AB - The Violent Scene Detection task offers a very practical chal- lenge in detecting complex and diverse violent video clips in movies. In this working note paper, we will briey describe our system and discuss the results, which achieved top per- formance in mAP

KW - Movie

KW - Multi-modality

KW - Temporal smoothing

KW - Trajectory-based feature

KW - Violent scene detection

UR - http://www.scopus.com/inward/record.url?scp=84877642762&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84877642762&origin=recordpage

M3 - RGC 22 - Publication in policy or professional journal

SN - 1613-0073

VL - 927

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 4 October 2012 through 5 October 2012

ER -

The shanghai-hongkong team at mediaeval2012: Violent scene detection using trajectory-based features

Abstract

Research Keywords

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