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...
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 ...
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...
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...
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...