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ICPR
2008
IEEE
14 years 8 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
MM
2004
ACM
219views Multimedia» more  MM 2004»
14 years 29 days ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo
ICPR
2010
IEEE
13 years 11 months ago
Efficient Semantic Indexing for Image Retrieval
Semantic analysis of a document collection can be viewed as an unsupervised clustering of the constituent words and documents around hidden or latent concepts. This has shown to i...
Chandrika Pulla, Suman Karthik, C. V. Jawahar
ICMCS
2007
IEEE
154views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Improving Semantic Concept Detection and Retrieval using Contextual Estimates
In this paper we introduce a novel contextual fusion method to improve the detection scores of semantic concepts in images and videos. Our method consists of three phases. For eac...
Yusuf Aytar, Omer Bilal Orhan, Mubarak Shah
ACL
2011
12 years 11 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald