— The paper describes a navigation algorithm for dynamic, uncertain environment. Moving obstacles are supposed to move on typical patterns which are pre-learned and are represent...
Chiara Fulgenzi, Christopher Tay, Anne Spalanzani,...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Motion estimation algorithms play a key role in picture-rate up-conversion. To realise high quality interpolated images, while keeping the processing requirements low, we analyse ...
Aleksandar Beric, Gerard de Haan, Jef L. van Meerb...
This paper proposes a framework of scalable motion estimation and coding with the structure of multi-layers for 3D wavelet video coding. The motion representation consists of mult...
A novel de-interlacing algorithm is proposed to accomplish high quality video format conversion. In the proposed scheme, bi-directional motion estimation (ME) is performed between ...
Yoon Kim, Kang-Sun Choi, Jae-Young Pyun, Byung-Tae...