足球视频中的多模式语义线索

Yu Wang, Yu Cao, Miao Wang, Gang Liu
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引用次数: 0

摘要

基于多模态语义线索和HCRF(隐条件随机场)的足球精彩事件检测框架。通过对精彩事件视频结构语义的分析,定义了九种多模态语义线索,以准确描述精彩事件所包含的语义信息。将视频片段分割成多个物理镜头后,从每个镜头的关键帧中提取多模态语义线索,得到当前镜头的特征向量,并将测试视频片段中所有镜头的特征向量组成观察序列。在小规模训练样本的情况下,将上述观测序列作为HCRF模型输入,有效地建立了一个精彩的事件检测HCRF模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-mode Semantic Cues in Soccer Video
A new framework based on multimodal semantic clues and HCRF (Hidden Conditional Random Field) for soccer wonderful event detection. Through analysis of the structural semantics of the wonderful event videos, define nine kinds of multimodal semantic clues to accurately describe the included semantic information of the wonderful events. After splitting the video clips into several physical shots, extract the multimodal semantic clues from the key frame of each shot to get the feature vector of the current shots, and compose the observed sequence of the feature vectors of all shots in the test video clips. Using the above observed sequence as HCRF model input in the case of small-scale training samples, establish a wonderful event detection HCRF model effectively.
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