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Stroke segmentation method based on writing video and calligraphy copying guiding method

A video and stroke technology, applied in the field of calligraphy copying guidance, can solve the problems of limited recognition accuracy, difficulty in obtaining temporal motion information, etc., and achieve the effects of speeding up training, high-fine-grained action recognition, and reducing parameters.

Inactive Publication Date: 2018-11-06
NORTHWEST UNIV(CN)
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AI Technical Summary

Problems solved by technology

However, since the time convolution can only obtain temporal information of a few short frames, and in videos with small motion ranges, the static information of several frames of images is almost the same, and it is difficult to obtain temporal motion information. Videos with subtle motion changes have limited recognition accuracy

Method used

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  • Stroke segmentation method based on writing video and calligraphy copying guiding method
  • Stroke segmentation method based on writing video and calligraphy copying guiding method
  • Stroke segmentation method based on writing video and calligraphy copying guiding method

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Embodiment

[0039] In this embodiment, a calligraphic writing video database is established, and the method of the present invention and existing methods are tested based on the database. The data source of the calligraphy video database is mainly the high-definition videos recorded by a calligraphy teacher and 6 students in the devil training camp of Mr. Yu Zhonghua of Zhejiang University when they were copying and writing calligraphy. A total of 7 calligraphers have recorded the Yan Ti regular script of Chinese characters such as "Shi, Gu, Da, Fu, Nei, Shang, No, Brother, Zuo, Zi". These ten characters are often practiced by students when they start practicing calligraphy. written Chinese characters, and each person writes each word 20 times, so there are 7*10*20=1400 complete single-character writing video segments in total, the video frame resolution is 1920*1080, and the frame frequency is 50 frames per second. Based on these video data, calligraphic strokes are segmented into strok...

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Abstract

The invention discloses a stroke segmentation method based on a writing video and a calligraphy copying guiding method. According to the stroke segmentation method based on the writing video, a convolutional neural network is redesigned, and the convolutional neural network is combined with a recurrent neural network, so that parameters of the neural network are greatly reduced, and the training speed is increased; and the expression capability of spatial characteristics of video frames is enhanced, and time domain motion information written by calligraphy words is extracted, so that high-accuracy fine-grained action recognition is achieved. According to the calligraphy copying guiding method, the stroke segmentation method based on the writing video is adopted; and by utilizing a stroke video obtained by stroke segmentation, a calligraphy copying process can be accurately guided.

Description

technical field [0001] The invention belongs to the technical field of computer recognition, and relates to a stroke segmentation method based on writing video and a calligraphy copying instruction method. Background technique [0002] Chinese calligraphy is a unique visual art, the crystallization of thousands of years of Chinese culture, and plays an important role in the inheritance of Chinese traditional culture. As China pays more and more attention to its traditional culture, more and more Chinese and foreigners begin to learn Chinese calligraphy. The basis of calligraphy learning lies in mastering the method of using the brush in the process of writing. As the saying goes, "The magic of calligraphy lies in the use of the brush" (from Kang Youwei in the Qing Dynasty). , which shows the importance of calligraphy strokes in the process of Chinese calligraphy writing. [0003] The common learning method for beginners of calligraphy is to learn by copying. In this proces...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V20/49G06N3/045
Inventor 龚晓庆许鹏飞刘宝英陈峰郭军肖云陈晓江房鼎益
Owner NORTHWEST UNIV(CN)
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