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SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 6 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
TOG
2012
279views Communications» more  TOG 2012»
13 years 2 months ago
Sketch-based shape retrieval
We develop a system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, we collect a large number of query sketches from human users that a...
Mathias Eitz, Ronald Richter, Tamy Boubekeur, Kris...
ICPR
2006
IEEE
16 years 26 days ago
Recognizing Expressions in a New Database Containing Played and Natural Expressions
We describe a new expression database which contains video sequences of both played and natural expressions and an expression classification system based on warped optical flow fi...
James Skelley, Robert Fischer, Arup Sarma, Bernd H...
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
15 years 5 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
16 years 5 days ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen