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» Estimating Missing Features to Improve Multimedia Retrieval
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ICMCS
2010
IEEE
121views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Estimating cinematographic scene depth in movie shots
In film-making, the distance from the camera to the subject greatly affects the narrative power of a shot. By the alternate use of Long shots, Medium and Close-ups the director i...
Sergio Benini, Luca Canini, Riccardo Leonardi
AUGHUMAN
2010
14 years 9 months ago
On-line document registering and retrieving system for AR annotation overlay
We propose a system that registers and retrieves text documents to annotate them on-line. The user registers a text document captured from a nearly top view and adds virtual annot...
Hideaki Uchiyama, Julien Pilet, Hideo Saito
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
15 years 5 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
ICMCS
2007
IEEE
146views Multimedia» more  ICMCS 2007»
15 years 6 months ago
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval
This paper presents a max margin framework on image annotation and multimodal image retrieval as a structured prediction model. Following the max margin approach the image retriev...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
MMM
2005
Springer
117views Multimedia» more  MMM 2005»
15 years 5 months ago
Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, ...