Paper Info
Title
Coding Video Sequences Of Visual Features
Abstract
Visual features provide a convenient representation of the image content, which is exploited in several applications, e.g., visual search, object tracking, etc. In several cases, visual features need to be transmitted over a bandwidth-limited network, thus calling for coding techniques to reduce the required rate, while attaining a target efficiency for the task at hand. Although the literature has recently addressed the problem of coding local features extracted from still images, in this paper we propose, for the first time, a coding architecture designed for local features extracted from video content. We exploit both spatial and temporal redundancy by means of intra-frame and inter-frame coding modes. In addition, we propose a coding mode decision based on rate-distortion optimization. Experimental results demonstrate that, in the case of SIFT descriptors, exploiting temporal redundancy leads to substantial gains in terms of coding efficiency.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738390
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)
Keywords
Field
DocType
Visual features, video coding
Visual search,Computer vision,Coding tree unit,Pattern recognition,Computer science,Multiview Video Coding,Coding (social sciences),Redundancy (engineering),Video tracking,Artificial intelligence,Sub-band coding,Context-adaptive binary arithmetic coding
Conference
ISSN
Citations 
PageRank 
1522-4880
9
0.48
References 
Authors
11
5
Name
Order
Citations
PageRank
Luca Baroffio123614.46
Matteo Cesana282663.33
Alessandro Redondi328025.99
Stefano Tubaro41033119.50
Marco Tagliasacchi586968.63