Content-Based Video Retrieval Using Moving Objects’ Trajectories

Choon-Bo Shim; Jae‐Woo Chang

doi:10.1007/978-3-540-30133-2_129

ScienceGate Book Chapters

BOOK-CHAPTER

Content-Based Video Retrieval Using Moving Objects’ Trajectories

Choon-Bo Shim Jae‐Woo Chang

Year: 2004 Lecture notes in computer science Pages: 975-981 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-30133-2_129

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Trajectory Scheme (mathematics) Representation (politics) Image warping Computer vision Dynamic time warping Artificial intelligence Video retrieval Image retrieval Image (mathematics) Mathematics

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.07

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Content-Based Video Retrieval Using Moving Objects’ Trajectories

Metrics

Topics

Related Documents

Content-based retrieval using trajectories of moving objects in video databases

Design and Implementation of a Content-Based Video Retrieval System Using Moving Objects Trajectories

ECoMOT : An Efficient Content-based Multimedia Information Retrieval System Using Moving Objects' Trajectories in Video Data

A Spatio-Temporal Representation Scheme for Content- and Semantic-Based Video Retrieval on Moving Objects’ Trajectories

Content Based Video Retrieval Using Spatiotemporal Salient Objects