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Motion provides a rich modality for communicating emotion and creating affect, and developing techniques for analyzing, manipulating and enhancing animations in video and computer graphics is an active research area. However, we have little empirical evidence of how particular attributes of motion elicit particular impressions. In this paper we describe a study of how perceptual attributes of abstract...
Table-tennis umpiring presents many challenges where technology can be judiciously applied to enhance decision-making, especially in the service facet of the game. This paper presents a system to automatically detect and track the ball during table-tennis services to enable precise judgment over their legitimacy. The system comprises a suite of algorithms that adaptively exploit spatial and temporal...
This paper presents a novel scheme for object completion in a video. The framework includes three steps: posture synthesis, graphical model construction, and action prediction. In the very beginning, a posture synthesis method is adopted to enrich the number of postures. Then, all postures are used to build a graphical model of object action which can provide possible motion tendency. We define two...
In this paper, we develop a neurobiologically-motivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and efficient manner using well-known Markov chain Monte Carlo (MCMC) techniques. Specifically, we leverage upon an MCMC variant called the Hamiltonian Monte Carlo (HMC), which we extend to utilize data-based proposals rather than...
We describe a method for generating an informative wide-view image using images captured by a moving camera. The generated image allows for events in the scene observed by the camera to be understood easily. Our method does not use 3D shape information explicitly. Instead, it employs the trajectory of feature points across multiple images and generates a composite image by taking into account the...
We proposes an unsupervised method to address video object extraction (VOE) in uncontrolled videos, i.e. videos captured by low-resolution and freely moving cameras. We advocate the use of dense optical-flow trajectories (DOTs), which are obtained by propagating the optical flow information at the pixel level. Therefore, no interest point extraction is required in our framework. To integrate color...
Human walks, runs, dances and left behind interesting information on their actions. This paper presents how chaotic dynamics help to interpret and classify human actions. The trajectories of two legs are extracted during a motion such as walk. These trajectories of foot points are collected from an artificial human video arrangement. Each dimension of trajectory represents a time series. The phase...
This paper presents a novel framework for object-based video inpainting. To complete an occluded object, our method first samples a 3-D volume of the video into directional spatio-temporal slices, and then performs patch-based image inpainting to repair the partially damaged object trajectories in the 2-D slices. The completed slices are subsequently combined to obtain a sequence of virtual contours...
We propose a real-time action detection system based on a novel action representation and an effective learning method with a small training set. We represent actions with a new feature that measures the ??global?? distance from a set of action exemplars, where action exemplars are constructed from a vocabulary that encodes ??local?? instantaneous body motions. A cascade of linear SVM is used to learn...
In recent years the video event understanding is an active research topic, with many applications in surveillance, security, and multimedia search and mining. In this paper we focus on the human action recognition problem and propose a new Curve-Distance approach based on the geometry modeling of video appearance manifold and the human action time series statistics on the geometry information. Experimental...
This paper presents a novel deformation system for video objects. The system is designed to minimize the amount of user interaction, while providing flexible and precise user control. It has a keyframe-based user interface. The user only needs to manipulate the video object at several keyframes. Our algorithm smoothly propagate the editing result from the keyframes to the remaining frames and automatically...
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