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Chinese traditional visual culture symbols (CT-VCSs) is formed in the tradition and has the characteristic of Chinese unique ideological and cultural connotation. It is a visual cultural heritage of Chinese culture. So the research on CT-VCSs has important practical significance. In this paper, it is mainly about the recognition and classification of CT-VCSs based on machine learning. We make use...
The research of facial beauty is an interdisciplinary topic involved in psychology, aesthetics, computer version and machine learning. In this paper, we propose several methods to assess facial beauty under unconstrained conditions. Our main works are as follows: First, we apply the local binary pattern (LBP) descriptor in different bins for face representation. We tried different types of LBP methods...
The content-based image recognition is a research focus in the field of computer vision. Machine learning especially deep learning has a great potential in the field of image recognition. This paper adopts the support vector machine algorithm and deep learning method convolutional neural network to recognize books in the digital image library and compares their performance. Experiments show that both...
Video caption extraction has become a very popular research area in the last few decades. Many reasons makes it a challenging task. A large number of techniques have been proposed to address this problem. This paper reviews the progress in this area and various methods towards different stages of text extraction in videos, and also discusses the promising direction of the future research.
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