News story parsing is an important and challenging task in a news video library system. In this paper, we address two important components in a news video story parsing system: shot boundary detection and anchorperson detection. First, an unsupervised fuzzy -means algorithm is used to detect video-shot boundaries in order to segment a news video into video shots. Then, a graph-theoretical clust...

In this paper, we present a method to remove commercials from talk and game show videos and to segment these videos into host and guest shots. In our approach, we mainly rely on information contained in shot transitions, rather than analyzing the scene content of individual frames. We utilize the inherent differences in scene structure of commercials and talk shows to differentiate between them...

In this paper, we present a method to remove commercials from talk and game show videos and to segment these videos into host and guest shots. In our approach, we mainly rely on information contained in shot transitions, rather than analyzing the scene content of individual frames. We utilize the inherent difference in scene structure of commercials and talk shows to differentiate between them....

Recently, mining information in sports video data, especially soccer video, has become an active research topic. In this paper, a new algorithm for detection of expected goal events in soccer video is proposed. The proposed algorithm is composed of two main steps. Firstly, video is segmented into its constituent shots and these shots are categorized into two groups, namely long shots and non-lo...

Follow this and additional works at: http://scholarship.law.upenn.edu/faculty_scholarship Part of the Bioethics and Medical Ethics Commons, Biotechnology Commons, Child Psychology Commons, Community Health and Preventive Medicine Commons, Health Law and Policy Commons, Health Policy Commons, Immunology and Infectious Disease Commons, Other Mental and Social Health Commons, Pharmaceutics and Dru...

Kudos to you for asking! It can be really tough to ask about your fears and find ways to overcome them. Assuming that you're talking about medically related injections, rather than "shots" of alcohol, here's some sugar that might help the medicine go down. Shots can refer to any number of injections, be it vaccines, insulin injections, various medications, injectable birth control, or fertility...

Kudos to you for asking! It can be really tough to ask about your fears and find ways to overcome them. Assuming that you're talking about medically related injections, rather than "shots" of alcohol, here's some sugar that might help the medicine go down. Shots can refer to any number of injections, be it vaccines, insulin injections, various medications, injectable birth control, or fertility...

The deployment of Convolutional Neural Networks to classify hyperspectral images is extensively discussed in the research study. A number different algorithms and approaches are applied, including 2D CNN, 3D SVM, Regression models, other state-of-the-art deep learning though these methods do not show good performance for image classification. Furthermore, CNNs require a lot computational power ...

Video scene segmentation is the first step towards automatic video annotation. For efficient video indexing and retrieval first step is to divide the video into shots and then classify the similar shots into scenes. In this paper we have discussed some existing algorithms for shot boundary detection, key frame extraction and classification of similar shots into scenes. The task of video segment...