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In this paper, we present an advanced news video parsing system via exploring the visual characteristics of anchorperson scenes, which aims to provide personalized news services over Internet or mobile platforms. As the anchorperson shots serve as the root shots for constructing news video, the addressed system firstly performs anchorperson detection which divides the news into several segments. Due...
A novel sports genre categorization algorithm based on representative shot extraction and geometry visual phrase(GVP) is presented in this paper. Performance of sports classification can be observably improved by generating reduced image set containing representative information and encoding spatial information into bag-of-words (BOW) model. Firstly, Shots containing significant information of videos...
This paper introduces a low-level visual feature which is an extension of the maximally stable extremal region (MSER) to color, applying for sports video genre categorization. The extension to color is done by detecting and describing the features based on opponent color space instead of gray-level in an image. The proposed feature is invariant not only to scale, rotation and affine transform, but...
In this paper a modified sports genre categorization framework is presented. The view type of close-up is detected as domain knowledge before categorization on large scale database. Close-up views occupy more than 1/3 of the duration of a sport match depending on its genre, and appears almost the same in various genres, which largely affected the performance of sports genre categorization. The presented...
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