Automatic Construction of Dataset with Automatic Annotation for Object Detection

Watanabe, Naok; Fukui, Shinji; lwahori, Yuji; Hayashi, Yoshitsugu; Achariyaviriya, Witsarut; Kijsirikul, Boonserm

doi:10.1016/j.procs.2020.09.215

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Automatic scene generation is currently a much heated research topic in the field of computer graphics and virtual reality. With the rapid development of computer technology, ample studies have reported meaningful findings about virtual scene generation 1‐8 …”

Section: Related Workmentioning

confidence: 99%

“…With the rapid development of computer technology, ample studies have reported meaningful findings about virtual scene generation. [1][2][3][4][5][6][7][8] The 3D scene object placement system first proposed by Stanford University is capable of inferring the implicit relationships between objects within a scene and manipulating interactive scenes. 9 Liu et al 10 found that driven by a given model library, indoor scenes can be automatically and efficiently generated from a single image.…”

Section: Related Workmentioning

confidence: 99%

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Virtual scene generation promotes shadow puppet art conservation

Liang

Dong

et al. 2023

Computer Animation & Virtual

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As an ancient performing art, shadow puppetry is a treasure of Chinese art. However, with the development of society, shadow puppetry becomes less well‐known among the young generation. To preserve and further spread this traditional culture, the digitization of shadow puppets is playing an increasingly important role in shadow puppetry conservation. Despite this, the spread of shadow puppetry culture in modern times still faces many hindrances. In digitalized shadow puppet art, the virtual scenes in certain degree determine the artistic effect of shadow puppet performance. The commonly used method for digital shadow puppet scene construction is via artificially created models which are then placed in corresponding positions. Obviously, this is a cumbersome and time‐consuming task. Therefore, a semantic‐based scene generation method for digital shadow puppet performance scene is proposed in this paper. According to this method, the key information is extracted from the descriptive text using the Chinese text segmentation technology. Meanwhile, we generate semantic scene graphs and search the corresponding shadow puppet models in the model library to construct the virtual scenes of digital shadow puppet performance. In the evaluation experiment, we invited 30 volunteers (10 female and 20 male) who had been exposed to traditional shadow puppet play in their daily lives. As suggested by the experimental results, the digital shadow puppet performance scene generated in this paper exhibit advantages of convenient use and high availability, which largely enhance the effect of digital shadow puppet performance. It should nonetheless be noted that it's not easy to extract the spatial relations from complicated texts, which inevitably limits the effectiveness of our scene generation method. The research work of this paper aims to promote digital shadow puppet technology and provide insights for the inheritance and conservation of traditional shadow puppet art.

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Section: Related Workmentioning

confidence: 99%