.png){kind=icon}
返回
Hierarchical Video Summarization in Reference Subspace
.png){kind=icon}
OA
AI
DOI：10.1109/TCE.2009.5278026.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a hierarchical video structure summarization approach using Laplacian Eigenmap is proposed, where a small set of reference frames is selected from the video sequence to firm a reference subspace to measure the dissimilarity between two arbitrary frames. In the proposed summarization scheme, the shot-level key frames are first detected from the continuity of inter-frame dissimilarity, and the sub-shot level and scene level representative frames are then summarized by using K-mean clustering. The experiment is carried on both test videos and movies, and the results show that in comparison with a similar approach using latent semantic analysis, the proposed approach using Laplacian Eigenmap can achieve a better recall rate in keyframe detection, and gives an efficient hierarchical summarization at sub shot, shot and scene levels subsequently.
Keyword:
Hiearchical Video Summarization
Latent Semantic Analysis
Laplacian Eigenmap
Representative Frame
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
机构
引用论文
.png){kind=icon}
Effects of stereoisomers of estradiol on food intake, body weight and hoarding behavior in female rats雌二醇立体异构体对雌性大鼠摄食、体重和囤积行为的影响
PREAI
分享收藏分享收藏分享收藏Complete obstruction of the lower common bile duct caused by autoimmune pancreatitis: is biliary reconstruction really necessary?由自身免疫性胰腺炎引起的下段胆总管完全性梗阻：胆道重建真的有必要吗？
PREAI
分享收藏
查看更多内容