We propose a flexible framework for producing highly personalized basketball video summaries, by intergrating contextural information, narrative user preferences on story pattern,...
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
In this paper, we present a novel framework to customize multimedia messages for mobile users. The goal is to generate a video message from a series of pictures. The framework inc...
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...