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» Video retrieval using speech and image information
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
16 years 4 days ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
CHI
2004
ACM
16 years 7 months ago
IDeixis: image-based Deixis for finding location-based information
In this paper we describe an image-based approach to finding location-based information from camera-equipped mobile devices. We introduce a point-by-photograph paradigm, where user...
Tom Yeh, Konrad Tollmar, Trevor Darrell
MM
2009
ACM
185views Multimedia» more  MM 2009»
16 years 1 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ECCV
2004
Springer
16 years 8 months ago
Separating Transparent Layers through Layer Information Exchange
In this paper we present an approach for separating two transparent layers in images and video sequences. Given two initial unknown physical mixtures, I1 and I2, of real scene laye...
Bernard Sarel, Michal Irani
MM
2004
ACM
248views Multimedia» more  MM 2004»
16 years 18 hour ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He