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Recognizing Realistic Actions from Videos “in the Wild”

by Jingen Liu, Jiebo Luo, Mubarak Shah
"... In this paper, we present a systematic framework for recognizing realistic actions from videos “in the wild. ” Such unconstrained videos are abundant in personal collections as well as on the web. Recognizing action from such videos has not been addressed extensively, primarily due to the tremendous ..."
Abstract - Cited by 227 (13 self) - Add to MetaCart
to the tremendous variations that result from camera motion, background clutter, changes in object appearance, and scale, etc. The main challenge is how to extract reliable and informative features from the unconstrained videos. We extract both motion and static features from the videos. Since the raw features

Learning words from sights and sounds: a computational model

by Deb K. Roy, Alex P. Pentland , 2002
"... This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the model acquires a lexicon by finding and statistically modeling consistent cross-modal structure. The model has been imple ..."
Abstract - Cited by 270 (31 self) - Add to MetaCart
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the model acquires a lexicon by finding and statistically modeling consistent cross-modal structure. The model has been

Video coding with optimal Inter/Intra-mode switching for packet loss resilience

by Rui Zhang, Shankar L. Regunathan, Kenneth Rose - IEEE JSAC , 2000
"... Resilience to packet loss is a critical requirement in predictive video coding for transmission over packet-switched networks, since the prediction loop propagates errors and causes substantial degradation in video quality. This work proposes an algorithm to optimally estimate the overall distortio ..."
Abstract - Cited by 197 (15 self) - Add to MetaCart
Resilience to packet loss is a critical requirement in predictive video coding for transmission over packet-switched networks, since the prediction loop propagates errors and causes substantial degradation in video quality. This work proposes an algorithm to optimally estimate the overall

Layered Video Multicast with Retransmissions (LVMR): Evaluation of Hierarchical Rate Control

by Xue Li, Sanjoy Paul, Mostafa Ammar , 1997
"... Layered Video Multicast with Retransmissions (LVMR) is a system for distributing video using layered coding over the Internet. The two key contributions of the system are: (1) improving the quality of reception within each layer by retransmitting lost packets given an upper bound on recovery time ..."
Abstract - Cited by 177 (12 self) - Add to MetaCart
Layered Video Multicast with Retransmissions (LVMR) is a system for distributing video using layered coding over the Internet. The two key contributions of the system are: (1) improving the quality of reception within each layer by retransmitting lost packets given an upper bound on recovery

Video matting of complex scenes

by Yung-yu Chuang, Aseem Agarwala, Brian Curless, David H. Salesin, Richard Szeliski - ACM Trans.Graph , 2002
"... This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon techniques in natural image matting, optical flow computation, and background estimation. User interaction is comprised of garbage ..."
Abstract - Cited by 145 (10 self) - Add to MetaCart
This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon techniques in natural image matting, optical flow computation, and background estimation. User interaction is comprised

Navier-Stokes, fluid dynamics, and image and video inpainting

by M. Bertalmio, A. L. Bertozzi, G. Sapiro - Proc. IEEE Computer Vision and Pattern Recognition (CVPR , 2001
"... Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies and the removal of selected objects. In this paper, we introduce a class of automated methods for digital inpainting. The ..."
Abstract - Cited by 167 (18 self) - Add to MetaCart
Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies and the removal of selected objects. In this paper, we introduce a class of automated methods for digital inpainting

A Min-max Cut Algorithm for Graph Partitioning and Data Clustering

by Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst Simon , 2001
"... An important application of graph partitioning is data clustering using a graph model -- the pairwise similarities between all data objects form a weighted graph adjacency matrix that contains all necessary information for clustering. Here we propose a new algorithm for graph partition with an objec ..."
Abstract - Cited by 213 (15 self) - Add to MetaCart
An important application of graph partitioning is data clustering using a graph model -- the pairwise similarities between all data objects form a weighted graph adjacency matrix that contains all necessary information for clustering. Here we propose a new algorithm for graph partition

An Information Theoretic Criterion For Evaluating the Quality of 3D Reconstructions From Video

by Amit K. Roy Chowdhury, Rama Chellappa
"... Even though numerous algorithms exist for estimating the 3D structure of a scene from its video, the solutions obtained are often of unacceptable quality. To overcome some of the de ciencies, many application systems rely on processing more data than necessary with the hope that the redundancy will ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
is often not the case. This paper proposes an alternative criterion to evaluate a 3D reconstruction in an algorithm-independent manner. It introduces an information-theoretic criterion for evaluating the quality of a 3D reconstruction in terms of the statistics of the observed parameters (i.e. the image

An Information Theoretic Criterion for Evaluating the Quality of 3-D Reconstructions from Video

by Amit K. Roy-Chowdhury, Rama Chellappa , 2004
"... Even though numerous algorithms exist for estimating the three-dimensional (3-D) structure of a scene from its video, the solutions obtained are often of unacceptable quality. To overcome some of the deficiencies, many application systems rely on processing more data than necessary, thus raising the ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
the quality of a 3-D reconstruction. The accuracy of the reconstruction is judged by considering the change in mutual information (MI) (termed as the incremental MI) between a scene and its reconstructions. An example of 3-D reconstruction from a video sequence using optical flow equations and known noise

An information fidelity criterion for image quality assessment using natural scene statistics

by Hamid Rahim Sheikh, Alan Conrad Bovik, Gustavo de Veciana - IEEE TRANS. IMAGE PROCESSING , 2005
"... Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images or videos in a perceptually consistent manner. Traditionally, imag ..."
Abstract - Cited by 117 (22 self) - Add to MetaCart
system (HVS), or by arbitrary signal fidelity criteria. In this paper, we approach the problem of image QA by proposing a novel information fidelity criterion that is based on natural scene statistics. QA systems are invariably involved with judging the visual quality of images and videos that are meant
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