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Displaying 1-10 out of 10 total
Clustering dynamic textures with the hierarchical EM algorithm
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Antoni B. Chan, Emanuele Coviello, Gert. R. G. Lanckriet
Issue Date:June 2010
pp. 2022-2029
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model has been applied to a wide variety of computer vision problems, such as motion...
 
Layered Dynamic Textures
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Antoni B. Chan, Nuno Vasconcelos
Issue Date:October 2009
pp. 1862-1879
A novel video representation, the layered dynamic texture (LDT), is proposed. The LDT is a generative model, which represents a video as a collection of stochastic layers of different appearance and dynamics. Each layer is modeled as a temporal texture sam...
 
Classifying Video with Kernel Dynamic Textures
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Antoni B. Chan, Nuno Vasconcelos
Issue Date:June 2007
pp. 1-6
The dynamic texture is a stochastic video model that treats the video as a sample from a linear dynamical system. The simple model has been shown to be surprisingly useful in domains such as video synthesis, video segmentation, and video classification. Ho...
 
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Antoni B. Chan, Nuno Vasconcelos
Issue Date:May 2008
pp. 909-926
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work studies the mixture of dynamic textures, a statistical model for an ensemble of video sequences th...
 
Dynamic texture models of music
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Luke Barrington, Antoni B. Chan, Gert Lanckriet
Issue Date:April 2009
pp. 1589-1592
In this paper, we consider representing a musical signal as a dynamic texture, a model for both the timbral and rhythmical qualities of sound. We apply the new representation to the task of automatic song segmentation. In particular, we cluster sequences o...
 
Privacy preserving crowd monitoring: Counting people without people models or tracking
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos
Issue Date:June 2008
pp. 1-7
We present a privacy-preserving system for estimating the size of inhomogeneous crowds, composed of pedestrians that travel in different directions, without using explicit object segmentation or tracking. First, the crowd is segmented into components of ho...
 
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos
Issue Date:March 2007
pp. 394-410
A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown...
 
Mixtures of Dynamic Textures
Found in: Computer Vision, IEEE International Conference on
By Antoni B. Chan, Nuno Vasconcelos
Issue Date:October 2005
pp. 641-647
A dynamic texture is a linear dynamical system used to model a single video as a sample from a spatio-temporal stochastic process. In this work, we introduce the mixture of dynamic textures, which models a collection of videos consisting of different visua...
 
Crossing the Line: Crowd Counting by Integer Programming with Local Features
Found in: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
By Zheng Ma,Antoni B. Chan
Issue Date:June 2013
pp. 2539-2546
We propose an integer programming method for estimating the instantaneous count of pedestrians crossing a line of interest in a video sequence. Through a line sampling process, the video is first converted into a temporal slice image. Next, the number of p...
 
Automatic stylistic manga layout
Found in: ACM Transactions on Graphics (TOG)
By Antoni B. Chan, Rynson W. H. Lau, Ying Cao
Issue Date:November 2012
pp. 1-10
Manga layout is a core component in manga production, characterized by its unique styles. However, stylistic manga layouts are difficult for novices to produce as it requires hands-on experience and domain knowledge. In this paper, we propose an approach t...
     
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