Prop Cone: The Virtual Prop House

Hiruni Perera, A.A.D.K Weerabahu, B.M Weerasinghe, I.U. Wickramasuriya, Ishara Gamage, Didula Chamara, H.A. Gayan Madushanka
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Abstract

In films, props are the moving objects that may be seen. Prop masters and art directors’ assistants are responsible for gathering movie-related props. The selection of props is also essential, because the appeal of a film is dependent on its captivating qualities. It is difficult to select without a solid recommendation and a large gallery. Therefore, the suggested platform is a virtual prop house that works as a prop-specific recommendation system and has additional capabilities such as putting previews and history records. The process necessitates a cross-device platform, as the recommendation system functions as a web page, and when it comes to the improved capabilities of positioning previews, it is transitioning to a mobile application with AR Core support. In this study, the recommendations for the props can be made in one of three efficient ways. They are by reading the script and recommending the props using word recognition, recommending props from the available gallery by scanning an image, which can be a screenshot of a movie, and as associated props which makes the prop master’s job easier by suggesting props by grouping and ranking the most prevalently utilized props in the movies that have been screened so far.
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道具锥:虚拟道具屋
在电影中,道具是可以看到的移动物体。道具师和艺术指导助理负责收集与电影相关的道具。道具的选择也很重要,因为电影的吸引力取决于它的迷人品质。如果没有可靠的推荐和大型画廊,很难选择。因此,建议的平台是一个虚拟道具屋,作为道具特定的推荐系统,并具有额外的功能,如预览和历史记录。这个过程需要一个跨设备的平台,因为推荐系统的功能就像一个网页,当涉及到定位预览的改进能力时,它正在过渡到一个具有AR核心支持的移动应用程序。在本研究中,对道具的建议可以通过三种有效的方式之一提出。它们是通过阅读脚本并使用文字识别来推荐道具,通过扫描图像(可以是电影的截图)从可用的库中推荐道具,以及作为关联道具,通过对迄今为止放映的电影中最常用的道具进行分组和排名来推荐道具,从而使道具管理员的工作更容易。
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