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  Browse All Reviews > Computing Methodologies (I) > Artificial Intelligence (I.2) > Vision And Scene Understanding (I.2.10) > Video Analysis (I.2.10...)  
  1-10 of 13 Reviews about "Video Analysis (I.2.10...)": Date Reviewed
  YouTube movie reviews: sentiment analysis in an audio-visual context
Wollmer M., Weninger F., Knaup T., Schuller B., Sun C., Sagae K., Morency L. IEEE Intelligent Systems 28(3): 46-53, 2013.  Type: Article

Sentiment analysis has been an interesting research topic in recent years. Previous work has focused on generic problem settings where only textual description is available, which is essentially a natural language processing task. In t...

Mar 3 2014
  Robust visual tracking using an effective appearance model based on sparse coding
Zhang S., Yao H., Sun X., Liu S. ACM Transactions on Intelligent Systems and Technology 3(3): 1-18, 2012.  Type: Article

A visual or image tracking method for videos based on sparse distributed representations described in terms of general basis functions (GBF) extracted from image patches is presented in this paper. The GBFs are extracted as features, u...

Mar 25 2013
  Dynamic processing allocation in video
Chen D., Bilgic M., Getoor L., Jacobs D. IEEE Transactions on Pattern Analysis and Machine Intelligence 33(11): 2174-2187, 2011.  Type: Article

The problem of detecting features of interest in large video collections is addressed in this paper. The authors’ model uses a “second-order Markov model with a node for each frame and a state variable that indicate...

Feb 6 2012
  Video analytics for multi-camera traffic surveillance
Ang D., Shen Y., Duraisamy P.  IWCTS 2009 (Proceedings of the 2nd International Workshop on Computational Transportation Science, Seattle, WA, Nov 3, 2009) 25-30, 2009.  Type: Proceedings

Nonintrusive video analytics for traffic flow observation are a flexible alternative to human operators and conventional inductive loop detectors. Ang, Shen, and Duraisamy present an automated low-cost dual-camera system for monitoring...

Apr 14 2010
  Video behavior profiling for anomaly detection
Xiang T., Gong S. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(5): 893-908, 2008.  Type: Article

In this era of heightened security concerns, computer-aided and fully automatic surveillance applications represent a key challenge to computer vision researchers. To that end, Xiang and Gong present an approach for unsupervised learni...

Apr 2 2009
  High-dimensionality data reduction with Java
Villalón E. Computing in Science and Engineering 10(5): 64-69, 2008.  Type: Article

This paper describes how the author used the Java Media Framework to implement some rudimentary dimensionality reduction techniques on videos, in order to make them more easily tractable for further processing. She targets two applicat...

Mar 26 2009
  Incremental discovery of object parts in video sequences
Drouin S., Hébert P., Parizeau M. Computer Vision and Image Understanding 110(1): 60-74, 2008.  Type: Article

Given a video and a segmentation algorithm, how does one reconstruct the foreground object from consecutive frames without having any predefined models? This paper describes a solution to this very fundamental and important topic....

Jul 16 2008
  Videoshop: a new framework for spatio-temporal video editing in gradient domain
Wang H., Xu N., Raskar R., Ahuja N. Graphical Models 69(1): 57-70, 2007.  Type: Article

A hot topic is dealt with in this paper: new methods for video editing beyond timeline manipulation and per-frame modification. The authors propose using a framework called Videoshop, which contains a set of operations that allows user...

Sep 25 2007
   Video motion analysis for the synthesis of dynamic cues and Futurist art
Collomosse J., Hall P. Graphical Models 68(5): 402-414, 2006.  Type: Article

Although the technical task of extracting rigid, jointed components from monocular image sequences has been studied extensively, the process of automatically (or semi-automatically) exaggerating the motion is much more novel. This pape...

May 16 2007
  Video super-resolution using controlled subpixel detector shifts
Ben-Ezra M., Zomet A., Nayar S. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(6): 977-987, 2005.  Type: Article

Unlike a still camera, one cannot improve the resolution of an image captured by a video camera by increasing the length of the exposure; alternatively, increasing the density of pixels on the detector increases the noise....

Feb 9 2006
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