Mapping semantic script with image processing algorithms to leverage amateur video material in professional production

作     者：Diemert, Benjamin Pinzari, Ana Moulin, Claude Abel, Marie-Helene Shawky, Marcus M. 

作者机构：Univ Technol Compiegne Ctr Rech Royallieu F-60205 Compiegne France 

出 版 物：《MULTIMEDIA TOOLS AND APPLICATIONS》 (多媒体工具和应用)

年 卷 期：2013年第62卷第2期

页      面：333-358页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Amateur production Professional production chain Semantic script Real-time image processing Intelligent camcorder 

摘      要：In this paper, we investigate the issue of amateur production in order to leverage its integration in professional production. We define a conceptual model of the shooting script that represents information about the shooting realization. It enables us to provides the amateur cameraman with prior shooting guidance on an intelligent camcorder. We use image processing algorithms and methods to provide the amateur with real-time shooting feedbacks. After the shooting, these algorithms produce more accurate descriptions that can be compared to the initial prescription. The comparison is guided by satisfaction rules defined by the professional to sort out non conforming sequence. Such rules are also used as query during video shot reviewing. Eventually, we discuss our approach with related works.