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» Combining Textual and Visual Features for Image Retrieval
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129
Voted
HICSS
2003
IEEE
105views Biometrics» more  HICSS 2003»
15 years 9 months ago
Synthesizing Evocative Imagery through Design Patterns
Automatically creating images that give a sense of content can be useful in a number of settings. Such images can summarize a larger collection of media in novel ways, giving an e...
Daniel M. Russell, Andreas Dieberger
135
Voted
CIVR
2004
Springer
141views Image Analysis» more  CIVR 2004»
15 years 9 months ago
Natural Scene Retrieval Based on a Semantic Modeling Step
In this paper, we present an approach for the retrieval of natural scenes based on a semantic modeling step. Semantic modeling stands for the classification of local image regions...
Julia Vogel, Bernt Schiele
132
Voted
ICIP
2001
IEEE
16 years 5 months ago
Similarity matching of arbitrarily shaped video by still shape features and shape deformations
The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video...
Berna Erol, Faouzi Kossentini
187
Voted
CVPR
2012
IEEE
13 years 6 months ago
Boosting bottom-up and top-down visual features for saliency estimation
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
Ali Borji
154
Voted
ICML
2010
IEEE
15 years 4 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun