In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
This paper investigates ordinal image description for
invariant feature correspondence. Ordinal description is
a meta-technique which considers image measurements in
terms of th...
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...
As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users informatio...
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...