1998
@inproceedings{ScL1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Dan Schonfeld and Dan Lelescu},
title = {{VORTEX}: {V}ideo Retrieval and Tracking from Compressed
Multimedia Databases -- {T}emplate Matching from {MPEG2} Video
Compression Standard},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {233--244},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {In this paper, a novel visual search engine for video
retrieval and tracking from compressed multimedia databases is
proposed. Our approach exploits the structure of video compression
standards in order to perform object matching directly on the
compressed video data. This is achieved by utilizing motion
compensation -- a critical prediction filter embedded in video
compression standards -- to estimate and interpolate the desired method
for template matching. Motion analysis is used to implement fast
tracking of objects of interest on the compressed video data. Being
presented with a query in the form of template images of objects, the
system operates on the compressed video in order to find the images or
video sequences where those objects are present and their positions in
the image. This in turn enables the retrieval and display of the
query-relevant sequences.},
}