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» Mapping low-level image features to semantic concepts
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MM
2010
ACM
265views Multimedia» more  MM 2010»
13 years 7 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
SIGMOD
2010
ACM
204views Database» more  SIGMOD 2010»
13 years 5 months ago
Multi-dimensional keyword-based image annotation and search
Effective keyword search on image databases is a major open problem, due to the inherent imprecision of keywords (tags) used to describe images' content. In this paper we pre...
Ilaria Bartolini, Paolo Ciaccia
VLSISP
2010
106views more  VLSISP 2010»
13 years 5 months ago
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
In this paper we describe a multi-strategy approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple fe...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...
CONTEXT
2003
Springer
14 years 23 days ago
A SAT-Based Algorithm for Context Matching
The development of more and more complex distributed applications over large networks of computers has raised the problem of semantic interoperability across applications based on ...
Paolo Bouquet, Bernardo Magnini, Luciano Serafini,...
ICTAI
2007
IEEE
14 years 1 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