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» Combining Textual and Visual Features for Image Retrieval
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HICSS
2003
IEEE
105views Biometrics» more  HICSS 2003»
15 years 5 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
CIVR
2004
Springer
141views Image Analysis» more  CIVR 2004»
15 years 5 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
ICIP
2001
IEEE
16 years 1 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
CVPR
2012
IEEE
13 years 2 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
ICML
2010
IEEE
15 years 27 days 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