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» Clustering of Video Objects by Graph Matching
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ICCV
2009
IEEE
13 years 5 months ago
Building recognition using sketch-based representations and spectral graph matching
In this work, we address the problem of building recognition across two camera views with large changes in scales and viewpoints. The main idea is to construct a semantically rich...
Yu-Chia Chung, Tony X. Han, Zhihai He
ECML
2006
Springer
13 years 9 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev
ICPR
2010
IEEE
14 years 2 months ago
Motion-Sketch Based Video Retrieval Using a Trellis Levenshtein Distance
We present a fast technique for retrieving video clips using free-hand sketched queries. Visual keypoints within each video are detected and tracked to form short trajectories, wh...
Rui Hu, John Philip Collomosse
CVIU
2008
192views more  CVIU 2008»
13 years 7 months ago
Content based video matching using spatiotemporal volumes
This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. Instead of using appearance features for region correspondence ...
Arslan Basharat, Yun Zhai, Mubarak Shah
ACCV
2009
Springer
14 years 7 days ago
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes
Abstract. We present a novel approach to segmenting video using iterated graph cuts based on spatio-temporal volumes. We use the mean shift clustering algorithm to build the spatio...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...