A new motion histogram to index motion content in video segments

Authors:
Haoran Yi;Deepu Rajan;Liang-Tien Chia
Affiliations:
Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore;Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Venue:
Pattern Recognition Letters
Year:
2005

Citing 7
Cited 9

Content-Based Video Indexing and Retrieval

IEEE MultiMedia
Texture Features for Browsing and Retrieval of Image Data

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient use of local edge histogram descriptor

MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
On clustering and retrieval of video shots through temporal slices analysis

IEEE Transactions on Multimedia
An efficient color representation for image retrieval

IEEE Transactions on Image Processing
A fully automated content-based video search engine supporting spatiotemporal queries

IEEE Transactions on Circuits and Systems for Video Technology
Content analysis of video using principal components

IEEE Transactions on Circuits and Systems for Video Technology

A survey of advances in vision-based human motion capture and analysis

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A Linear Cost Function Model and its Application

CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Trajectory representation using Gabor features for motion-based video retrieval

Pattern Recognition Letters
Semantic video fingerprinting and retrieval using face information

Image Communication
Human action recognition using boosted EigenActions

Image and Vision Computing
A novel video thumbnail extraction method using spatiotemporal vector quantization

Proceedings of the 3rd international workshop on Automated information extraction in media production
A content-based rapid video playback method using motion-based video time density function and temporal quantization

Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Video indexing and retrieval in compressed domain using fuzzy-categorization

ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
A comprehensive review of significant researches on content based indexing and retrieval of visual information

Frontiers of Computer Science: Selected Publications from Chinese Universities

Quantified Score

Hi-index	0.10

Visualization

Abstract

A new motion feature for video indexing is proposed in this paper. The motion content of the video at pixel level, is represented as a Pixel Change Ratio Map (PCRM). The PCRM enables us to capture the intensity of motion in a video sequence. It also indicates the spatial location and size of the moving object. The proposed motion feature is the motion histogram which is a non-uniformly quantized histogram of the PCRM. We demonstrate the usefulness of the motion histogram with three applications, viz., video retrieval, video clustering and video classification.