Feature extraction and representation is a crucial step for multimedia processing. How to
extract ideal features that can reflect the intrinsic content of the images as complete as …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers
to achieve good image classification performance. This paper presents a simple but effective …

This paper considers the person verification problem in modern surveillance and video
retrieval systems. The problem is to identify whether a pair of face or human body images is …

This paper introduces a new framework for image classification using local visual
descriptors. The pipeline first performs a nonlinear feature transformation on descriptors …

Pose variation remains to be a major challenge for realworld face recognition. We approach
this problem through a probabilistic elastic matching method. We take a part based …

This paper presents a method named Discriminant Analysis on Riemannian manifold of
Gaussian distributions (DARG) to solve the problem of face recognition with image sets. Our …

We introduce an extension of bag-of-words image representations to encode spatial layout.
Using the Fisher kernel framework we derive a representation that encodes the spatial mean …

This paper presents a simple but effective scene classification approach based on the
incorporation of a multi-resolution representation into a bag-of-features model. In the …

Person reidentification, which matches person images of the same identity across
nonoverlapping camera views, becomes an important component for cross-camera-view …