Title :
STAR: A Content Based Video Retrieval system for moving camera video shots
Author :
Chattopadhyay, Chiranjoy ; Das, S.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras, Chennai, India
Abstract :
This paper presents the design of STAR (Spatio-Temporal Analysis and Retrieval), an unsupervised Content Based Video Retrieval (CBVR) System. STAR´s key insight and primary contribution is that it models video content using a joint spatio-temporal feature representation and retrieves videos from the database which have similar moving object and trajectories of motion. Foreground moving blobs from a moving camera video shot are extracted, along with a trajectory for camera motion compensation, to form the space-time volume (STV). The STV is processed to obtain the EMST-CSS representation, which can discriminate across different categories of videos. Performance of STAR has been evaluated qualitatively and quantitatively using precision-recall metric on benchmark video datasets having unconstrained video shots, to exhibit efficiency of STAR.
Keywords :
content-based retrieval; video cameras; video retrieval; CBVR system; EMST-CSS representation; STAR; content based video retrieval system; joint spatio-temporal feature representation; motion trajectories; moving camera video shots; space-time volume; spatio-temporal analysis and retrieval; Benchmark testing; Cameras; Feature extraction; Shape; Surface treatment; Trajectory; Vectors;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
Conference_Location :
Jodhpur
Print_ISBN :
978-1-4799-1586-6
DOI :
10.1109/NCVPRIPG.2013.6776267
