Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

Weakly-supervised image segmentation is a challenging problem with multidisciplinary
applications in multimedia content analysis and beyond. It aims to segment an image by …

We present a modification of the Mumford-Shah functional and its cartoon limit which
facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By …

We present a variational integration of nonlinear shape statistics into a Mumford–Shah
based segmentation process. The nonlinear statistics are derived from a set of training …

A new method for shape recognition and retrieval is proposed here. The suggested
algorithm is based on several steps. The algorithm analyzes the contour of pairs of shapes …

We propose an analytic-to-holistic approach which can identify faces at different perspective
variations. The database for the test consists of 40 frontal-view faces. The first step is to …

Curve matching is one instance of the fundamental correspondence problem. Our flexible
algorithm is designed to match curves under substantial deformations and arbitrary large …

Photo aesthetic quality evaluation is a fundamental yet under addressed task in computer
vision and image processing fields. Conventional approaches are frustrated by the following …

This paper proposes a Riemannian geometric framework to compute averages and
distributions of point configurations so that different configurations up to affine …

Photo cropping is widely used in the printing industry, photography, and cinematography.
Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to …