Detecting pornographic video content by combining image features with motion information

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 601-604

  Jansohn, Christian ^a   Ulges, Adrian ^b   Breuel, Thomas M ^b  

^a Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

Content based video retrieval; Pornography detection

Indexed keywords

AS CONTENT; CONTENT-BASED VIDEO RETRIEVAL; DIGITAL VIDEOS; GENERAL APPROACH; IMAGE FEATURES; KEY-FRAMES; MOTION DESCRIPTORS; MOTION HISTOGRAMS; MOTION INFORMATION; MOTION PATTERN; MOTION VECTORS; PERIODIC MOTION; PERIODICITY DETECTION; REAL-WORLD; SIGNIFICANT IMPACTS; STATIC IMAGES; STATISTICAL ANALYSIS; VIDEO CONTENTS; WEB VIDEO;

ERROR DETECTION; IMAGE RETRIEVAL; METHOD OF MOMENTS; MOTION PICTURE EXPERTS GROUP STANDARDS; MULTIMEDIA SYSTEMS; TECHNICAL PRESENTATIONS; VIDEO RECORDING; VISUAL COMMUNICATION;

COMPUTER GRAPHICS;

EID: 72449170537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631366     Document Type: Conference Paper

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