In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Media authentication and tampering localization are important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded v...
Yao-Chung Lin, David P. Varodayan, Torsten Fink, E...
In this paper we present a statistical model used to select coding parameters for a mixed resolution Wyner-Ziv framework implemented using the H.264/AVC standard. This paper exten...
Bruno Macchiavello, Ricardo L. de Queiroz, Debargh...
We pose the problem of perfect segmentation for regions with ambiguous boundaries. We design machine learning classifiers to identify boundaries and build these into an interactiv...
In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are ex...
Real-time face alignment in video is very critical in many applications such as facial expression analysis, driver fatigue monitoring, etc. This paper presents a real time algorit...
Privacy protection of visual information is increasingly important as pervasive camera networks becomes more prevalent. The proposed scheme addresses the problem of preserving and...
Sen-Ching S. Cheung, Jithendra K. Paruchuri, Thinh...
In this paper, we present a low complexity Modulo-PCM based coding algorithm for high speed video cameras used in applications that demand very high frame rates. By compressing th...
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Can a machine learn to perceive emotions as evoked by an artwork? Here we propose an emotion categorization system, trained by ground truth from psychology studies. The training d...
Victoria Yanulevskaya, Jan van Gemert, Katharina R...