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针对独立学院数理统计教学中存在的问题和学生的实际情况,在教学中突出重点,调整传统的教学顺序,分散难点,由浅入深.简单而直观地解释思想方法,注意对知识的归纳和总结,从而收到良好的教学效果. 相似文献
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This paper proposes a video summarization algorithm called the Mutual Information and Entropy based adaptive Sliding Window (MIESW) method, which is specifically for the static summary of gesture videos. Considering that gesture videos usually have uncertain transition postures and unclear movement boundaries or inexplicable frames, we propose a three-step method where the first step involves browsing a video, the second step applies the MIESW method to select candidate key frames, and the third step removes most redundant key frames. In detail, the first step is to convert the video into a sequence of frames and adjust the size of the frames. In the second step, a key frame extraction algorithm named MIESW is executed. The inter-frame mutual information value is used as a metric to adaptively adjust the size of the sliding window to group similar content of the video. Then, based on the entropy value of the frame and the average mutual information value of the frame group, the threshold method is applied to optimize the grouping, and the key frames are extracted. In the third step, speeded up robust features (SURF) analysis is performed to eliminate redundant frames in these candidate key frames. The calculation of Precision, Recall, and F are optimized from the perspective of practicality and feasibility. Experiments demonstrate that key frames extracted using our method provide high-quality video summaries and basically cover the main content of the gesture video. 相似文献
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Buyun Liang Na Li Zheng He Zhongyuan Wang Youming Fu Tao Lu 《Entropy (Basel, Switzerland)》2021,23(8)
Because the data volume of news videos is increasing exponentially, a way to quickly browse a sketch of the video is important in various applications, such as news media, archives and publicity. This paper proposes a news video summarization method based on SURF features and an improved clustering algorithm, to overcome the defects in existing algorithms that fail to account for changes in shot complexity. Firstly, we extracted SURF features from the video sequences and matched the features between adjacent frames, and then detected the abrupt and gradual boundaries of the shot by calculating similarity scores between adjacent frames with the help of double thresholds. Secondly, we used an improved clustering algorithm to cluster the color histogram of the video frames within the shot, which merged the smaller clusters and then selected the frame closest to the cluster center as the key frame. The experimental results on both the public and self-built datasets show the superiority of our method over the alternatives in terms of accuracy and speed. Additionally, the extracted key frames demonstrate low redundancy and can credibly represent a sketch of news videos. 相似文献
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多烯大环内酯抗生素是抗生素中一个化学类群,由25~37个碳原子组成大内酯环,在环的一部分有共轭多烯结构,对应部位有羟基,并由苷键连接一个或多个氨基糖。这类抗生素具有对光不稳定,抗真菌谱广,静脉给药毒性高,口服毒性低的特点。本文对放线菌-1356产生的抗真菌活性成分,四烯大环内酯——鲁丝霉素进行了UV、IR、MS、1 H NMR 和13C NMR 检测,并通过DEPT 和1 H-1H COSY、HMBC、HSQC 等2D NMR 技术对其1 H NMR 和13C NMR 数据进行了详细的解析和信号归属,并纠正了国外文献对于多烯内酯类化合物13C NMR信号归属的错误,总结了此类化合物的核磁共振谱规律。为以后此类化合物的分析鉴定提供了更完善的依据。 相似文献
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