基于视频摘要的物联网视频开放平台设计

In this paper, a video summarization based Internet video open platform design is prsented. WoT brings huge market prospects and intelligent, networked thinking to open video technology. However, over time, the monitoring image and video goes through a linear growth and brings huge human cost to visitors. Based on the above problems, we introduced video summarization technology, through the analysis of the structure and content of video, extract meaningful information from the original video, and recompose the meaningful information, condensed into video semantic content of the full performance. A similarity measure algorithm based on color, texture feature nonlinear fusion algorithm is proposed. And the video frame fusion measure as AP clustering similarity matrix applied to the video in algorithm. Aiming at the shortcomings of the traditional AP clustering algorithm, AP clustering algorithm based on dynamic damping factor is put forward, and applied to the static video abstract algorithm. Simulation results consistent with expectations, improve the quality of the extracted key frames. The static video evaluation algorithm CUS is improved for the first time, through introducing the key frames for clustering and user parameter redundancy rate, make it more scientifically reflect the effect of static video abstract algorithm. Algorithm described in this article with VSUMM, original AP algorithm results are analyzed and compared, such as described in this article is verified AP_DL accuracy and efficiency of the algorithm.