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Amirhossein Firouzmanesh

dblp:92/9956 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-4342-2532ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 50% Image and video coding · 50%
Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation › motion capture
motion capture data compression
0.112011
Perceptually Guided Fast Compression of 3-D Motion Capture Data · IEEE Trans. Multim. 2011
Image and video coding › image compression
perceptual image compression
0.112011
Perceptually Guided Fast Compression of 3-D Motion Capture Data · IEEE Trans. Multim. 2011

Methods — techniques the papers use, named apart from their topics

wavelet transform · 0.2
YearPublicationVenuePosition
2015 Perceptually motivated LSPIHT for motion capture data compression
Irene Cheng 0001, Amirhossein Firouzmanesh, Anup Basu
Comput. Graph.2
2011 Perceptually Guided Fast Compression of 3-D Motion Capture Data
abstract
A time efficient compression technique, incorporating attention stimulating factors, for motion capture data is proposed. Compression ratios of 25:1 to 30:1 can be achieved with very little noticeable degradation in perceptual quality of animation. Experimental analysis shows that the proposed algorithm is much faster than comparable approaches using wavelets, thereby making our approach feasible for motion capture, transmission, and real-time synthesis on mobile devices, where processing power and memory capacity are limited.
Amirhossein Firouzmanesh, Irene Cheng 0001, Anup Basu
IEEE Trans. Multim.1