西安电子科技大学学报（自然科学版）Issue(4)：81-87,7.DOI:10.3969/j.issn.1001-2400.2015.04.014
HC RF 和网络文本的精彩事件自动检测定位
Wonderful events automatic detection and location of the HCRF and webcast text
摘要
Abstract
Based on the powerful function of the hidden conditional random fields ( HCRF) model in the expression and identification of semantic events and combining the webcast text information , a new framework for wonderful events automatic detection is put forward . Firstly , by analyzing and processing the webcast text , keyword combinations corresponding to each exciting event are obtained . Secondly , by classifying the webcast text to be detected , the happening time labels of each wonderful event are obtained . Thirdly , an HCRF model for semantic shot annotation is built to realize the semantic annotation of multiple types of semantic shots simultaneously , and the semantic shot sequence of the video clip is obtained . Finally , combining the multi‐modal semantic clues , an HCRF model for the wonderful events detection and localization is effectively built in the case of small‐scale training samples . Based on the mapping relationship among video low‐level features , the multi‐modal semantic clues and the wonderful semantic events , the inherent patterns of the wonderful events are excavated deeply in the multiple dimensions of the semantic structure , and then the wonderful events automatic detection , localization and segmentation are precisely achieved . Experiments show the effectiveness of this model .关键词
视频语义分析/事件检测/网络文本/隐条件随机场/语义镜头标注Key words
video semantic analysis/event detection/webcast text/hidden conditional random field (HCRF)/semantic shots annotation分类
信息技术与安全科学引用本文复制引用
同鸣,王硕,丁力伟,王纲..HC RF 和网络文本的精彩事件自动检测定位[J].西安电子科技大学学报（自然科学版）,2015,(4):81-87,7.基金项目
国家自然科学基金资助项目（61072110）；陕西省重点难题攻关资助项目 （）
