Title
Interframe compression with selective update framework of local features for mobile augmented reality
Abstract
Mobile augmented reality (MAR) systems utilize local features to represent structures such as corners or blobs in query videos and database images. Local features are compressed and sent to servers to perform query-database matching. The compression efficiency is important for the server-based MAR systems in terms of network latency. Conventional compression methods handle video frames independently. In recent years, an interframe compression technology, which exploits temporal correlation over frames, has been proposed. It propagates local features temporally and realizes significant bitrate reduction without degradation in matching performance. However, this system requires a large amount of information when inserting independently compressed frames to update the status of local features. In this paper, we propose the selective update framework for local features and give simple algorithms to make use of the framework. Experimental results show that our proposal achieves gradual refreshes of local features, avoiding transmission of large amounts of data.
Year
DOI
Venue
2014
10.1109/ICMEW.2014.6890631
Multimedia and Expo Workshops
Keywords
Field
DocType
augmented reality,data compression,feature extraction,image matching,mobile computing,video coding,video retrieval,bitrate reduction,compression efficiency,conventional compression methods,database images,interframe compression technology,local features,matching performance,mobile augmented reality,network latency,query videos,query-database matching,selective update framework,server-based MAR systems,video frames,canonical patches,image matching,interframe compression,local features,mobile augmented reality
Computer vision,Latency (engineering),Computer science,Server,Feature extraction,Augmented reality,Artificial intelligence,Inter frame,Data compression,Video compression picture types,Encoding (memory)
Conference
ISSN
Citations 
PageRank 
1945-7871
1
0.35
References 
Authors
6
4
Name
Order
Citations
PageRank
Jumpei Koyama110.35
Mina Makar2937.27
Andre F. de Araújo3536.83
Bernd Girod489881062.96