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» The State of the Art in Image and Video Retrieval
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ICIP
2009
IEEE
14 years 9 months ago
Graph-based foreground extraction in extended color space
We propose a region-based method to extract semantic foreground regions from color video sequences with static backgrounds. First, we introduce a new distance measure for backgrou...
Hansung Kim, Adrian Hilton
ICIAP
2003
ACM
15 years 11 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
ICMCS
2010
IEEE
849views Multimedia» more  ICMCS 2010»
15 years 23 days ago
High Dynamic Range image tone mapping based on local Histogram Equalization
High Dynamic Range (HDR) images can represent the acquired scene with a greater dynamic range of luminance than classical Low Dynamic Range (LDR) ones. Despite the recent diffusio...
Alberto Boschetti, Nicola Adami, Riccardo Leonardi...
ACCV
2010
Springer
14 years 6 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
ICIP
2009
IEEE
16 years 22 days ago
Parallel High Resolution Real-time Visual Hull On Gpu
In this paper we present an efficient high resolution Image Based Visual Hull (IBVH) algorithm that entirely runs in real-time on a single consumer graphics card. The target appli...