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MLDM
2009
Springer
16 years 27 days ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
16 years 22 days 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, ...
ICIP
2005
IEEE
15 years 12 months ago
Classification and representation of semantic content in broadcast tennis videos
This paper investigates the semantic analysis of broadcast tennis footage. We consider the spatio-temporal behaviour of an object in the footage as being the embodiment of a seman...
Niall Rea, Rozenn Dahyot, Anil C. Kokaram
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Using High-Level Semantic Features in Video Retrieval
Extraction and utilization of high-level semantic features are critical for more effective video retrieval. However, the performance of video retrieval hasn't benefited much d...
Wujie Zheng, Jianmin Li, Zhangzhang Si, Fuzong Lin...
IJCAI
2001
15 years 7 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...