We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
Abstract. This paper presents a novel method of automatic image semantic annotation. Our approach is based on the Image-Keyword Document Model (IKDM) with image features discretiza...
Xiangdong Zhou, Lian Chen, Jianye Ye, Qi Zhang, Ba...
The objective of image stabilization is to prevent or remove the motion blur degradation from images. We introduce a new approach to image stabilization based on combining informa...
Machine perception can benefit from the use of features extracted from data provided by a variety of sensor modalities. Recent advances in sensor design makes it possible to incor...
In this paper, we propose a light and fast pixel-based statistical motion detection method based on a background subtraction procedure. The statistical representation of the backg...