Object Tracking and Task Recognition for Producing Interactive Video Content - Semi-automatic Indexing for QUEVICO
Object Tracking and Task Recognition for Producing Interactive Video Content - Semi-automatic Indexing for QUEVICO
复制标题
用于制作交互式视频内容的对象跟踪和任务识别 - QUEVICO 的半自动索引
DOI：
10.1007/978-3-540-45226-3_143
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Y. Ohta
中科院分区：
文献类型：
--
作者：
Motoyuki Ozeki;M. Itoh;H. Izuno;Yuichi Nakamura;Y. Ohta
本文提出了一种基于视频交互媒体的问答模型QUEVICO的半自动标引方法。我们首先提供QUEVICO的概述，然后讨论哪些索引是从场景中获取的，哪些必须通过手动或自动处理获取。为了获得这些指标，我们实现了一个原型系统，其过程包括人类行为识别，对象跟踪和语音识别。通过将原型系统应用于QUEVICO视频数据的实际索引，证明了该框架的强大潜力。
This paper presents a semi-automatic indexing method for “QUEVICO” — A QA model for video-based interactive media. We first provide an overview of QUEVICO, and then discuss which indices are acquired from the scenario and which must be acquired by manual or automated processing. To obtain these indices, we implemented a prototype system whose processes include human behavior recognition, object tracking, and speech recognition. Through some experiments applying the prototype system to actual indexing of QUEVICO video data, the strong potential of our framework are demonstrated.