Titlebook: Computational Visual Media; First International Shi-Min Hu,Ralph R. Martin Conference proceedings 2012 Springer-Verlag Berlin Heidelberg 2

ICLE

笨拙的我

引水渠

Weak Convergence of ,-statistics,en semantically correct, which has been rarely considered previously. In this paper, we propose a complete system for the image colorization with an affective word. We only need users to assist object segmentation along with text labels and give an affective word. First, the text labels along with o

生气地

Weak Convergence of Permanent Processes,es with no metadata as input, our method describes the semantics of each image with a . model (., a set of meaningful descriptors), which is derived from the image’s Object Relation Network [5] - an expressive graph model representing rich semantics for image objects and their relations. We adopt th

Hot-Flash

nitroglycerin

Amnesty

Combinatorial Formula for Schur Polynomialsetween patches, and balancing the numbers of faces of patches for efficient parallel computing. First we generate a topology model of the original mesh and remove vertex positions. Then we assign the centers of patches using geodesic farthest point sampling and cluster the faces according to geodesi

PAGAN

aplomb

羽饰

Combinatorial Formula for Schur Polynomialsetection method, generating a saliency map that enables high contrast between the foreground salient object and background. Our method mainly integrates four principles, which are based on psychological evidences, visual research and general observation. In order to suppress the homogeneous regions,