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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 2 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
TRECVID
2008
13 years 1 months ago
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Ru...
MIR
2005
ACM
197views Multimedia» more  MIR 2005»
13 years 5 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-deļ¬ned ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai
ICCV
2009
IEEE
14 years 4 months ago
Automatic annotation of human actions in video
This paper addresses the problem of automatic temporal annotation of realistic human actions in video using mini- mal manual supervision. To this end we consider two asso- ciate...
Olivier Duchenne, Ivan Laptev, Josef Sivic, Franci...
MMM
2007
Springer
176views Multimedia» more  MMM 2007»
13 years 6 months ago
An Efficient Automatic Video Shot Size Annotation Scheme
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...
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