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ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Enhanced Semi-Supervised Learning for Automatic Video Annotation
For automatic semantic annotation of large-scale video database, the insufficiency of labeled training samples is a major obstacle. General semi-supervised learning algorithms can...
Meng Wang, Xian-Sheng Hua, Li-Rong Dai, Yan Song
MTA
2002
144views more  MTA 2002»
13 years 7 months ago
Semantic Extraction and Semantics-Based Annotation and Retrieval for Video Databases
Digital video databases have become more pervasive and finding video clips quickly in large databases becomes a major challenge. Due to the nature of video, accessing contents of v...
Yan Liu 0004, Fei Li
WIAMIS
2009
IEEE
14 years 2 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
ISMAR
2007
IEEE
14 years 2 months ago
Semi-automatic Annotations in Unknown Environments
Unknown environments pose a particular challenge for augmented reality applications because the 3D models required for tracking, rendering and interaction are not available ahead ...
Gerhard Reitmayr, Ethan Eade, Tom Drummond
DATE
2006
IEEE
89views Hardware» more  DATE 2006»
14 years 2 months ago
Automatic insertion of low power annotations in RTL for pipelined microprocessors
We propose instruction-driven slicing, a new technique for annotating microprocessor descriptions at the Register Transfer Level (RTL) in order to achieve lower power dissipation....
Vinod Viswanath, Jacob A. Abraham, Warren A. Hunt ...