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» Combining Textual and Visual Features for Image Retrieval
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KES
2004
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
IMCSIT
2010
14 years 7 months ago
Emotion-based Image Retrieval - an Artificial Neural Network Approach
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Soft Region Correspondence Estimation for Graph-Theoretic Image Retrieval Using Quadratic Programming Approach
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
Chuech-Yu Li, Chiou-Ting Hsu
AIRS
2008
Springer
14 years 12 months ago
Comparing Dissimilarity Measures for Content-Based Image Retrieval
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...
Haiming Liu 0002, Dawei Song, Stefan M. Rüger...
CVPR
2003
IEEE
15 years 12 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik