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» Combined visual attention model for video sequences
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BMVC
2002
15 years 6 days ago
Practical Generation of Video Textures using the Auto-Regressive Process
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
Neill W. Campbell, Colin J. Dalton, David P. Gibso...
CIVR
2007
Springer
189views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Online video recommendation based on multimodal fusion and relevance feedback
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant v...
Bo Yang, Tao Mei, Xian-Sheng Hua, Linjun Yang, Shi...
CVPR
2004
IEEE
15 years 11 months ago
High Resolution Video Mosaicing with Global Alignment
Image composition (or mosaicing) has attracted a growing attention in recent years as one of the main elements in video analysis and representation. In this paper we deal with the...
Roberto Marzotto, Andrea Fusiello, Vittorio Murino
ICIP
2006
IEEE
15 years 11 months ago
Estimation of Dynamic Background for Fluorescence Video-Microscopy
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Charles Kervrann, Jérôme Boulanger, P...
PAMI
2006
138views more  PAMI 2006»
14 years 9 months ago
Context-Based Segmentation of Image Sequences
We describe an algorithm for context-based segmentation of visual data. New frames in an image sequence (video) are segmented based on the prior segmentation of earlier frames in ...
Jacob Goldberger, Hayit Greenspan