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» Using High-Level Semantic Features in Video Retrieval
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ICTAI
2007
IEEE
15 years 4 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
AMR
2006
Springer
157views Multimedia» more  AMR 2006»
15 years 1 months ago
SAFIRE: Towards Standardized Semantic Rich Image Annotation
Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is ...
Christian Hentschel, Andreas Nürnberger, Ingo...
MM
1996
ACM
168views Multimedia» more  MM 1996»
15 years 1 months ago
CVEPS - A Compressed Video Editing and Parsing System
Processing digital video directly in the compressed domain has many advantages in terms of storage efficiency, speed, and video quality. We have developed a compressed video editi...
Jianhao Meng, Shih-Fu Chang
65
Voted
CIVR
2007
Springer
103views Image Analysis» more  CIVR 2007»
15 years 3 months ago
The value of stories for speech-based video search
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
Bouke Huurnink, Maarten de Rijke
MM
2004
ACM
229views Multimedia» more  MM 2004»
15 years 3 months ago
Generating 3D views of facial expressions from frontal face video based on topographic analysis
In this paper, we report our newly developed 3D face modeling system with arbitrary expressions in a high level of detail using the topographic analysis and mesh instantiation pro...
Lijun Yin, Kenny Weiss