WITHDRAWN: Feature extraction algorithm of audio and video based on clustering in sports video analysis

Xing, Jinming; Li, Xiaofeng

doi:10.1016/j.jvcir.2019.102694

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Simply speaking, shot segmentation detects the boundary frames of each shot in the video through the boundary detection algorithm, which can divide the complete video into a series of independent shots through these boundary frames. The general steps of shot segmentation are (i) calculating the changes in characteristics between frames through a particular algorithm; (ii) obtaining a value that can serve as a basis for judgment as a threshold using experience or algorithm calculation; (iii) once the changes between a frame and its following frame are more significant than the preset threshold, this frame is marked as the boundary frame of the shot for shot segmentation [ 19 ]. Because scenes in the football videos are not complicated, and there are comparatively many sudden shots, a simple shot segmentation method based on pixel comparison is selected, considering efficiency and accuracy.…”

Section: Methodsmentioning

confidence: 99%

Automatic Detection Algorithm of Football Events in Videos

Jia

2022

Computational Intelligence and Neuroscience

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The purpose is to effectively solve the problems of high time cost, low detection accuracy, and difficult standard training samples in video processing. Based on previous investigations, football game videos are taken as research objects, and their shots are segmented to extract the keyframes. The football game videos are divided into different semantic shots using the semantic annotation method. The key events and data in the football videos are analyzed and processed using a combination of artificial rules and a genetic algorithm. Finally, the performance of the proposed model is evaluated and analyzed by using concrete example videos as data sets. Results demonstrate that adding simple artificial rules based on the classic semantic annotation algorithms can save a lot of time and costs while ensuring accuracy. The target events can be extracted and located initially using a unique lens. The model constructed by the genetic algorithm can provide higher accuracy when the training samples are insufficient. The recall and precision of events using the text detection method can reach 96.62% and 98.81%, respectively. Therefore, the proposed model has high video recognition accuracy, which can provide certain research ideas and practical experience for extracting and processing affective information in subsequent videos.

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Section: Methodsmentioning

confidence: 99%

Automatic Detection Algorithm of Football Events in Videos

Jia

2022

Computational Intelligence and Neuroscience

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“…The comparison algorithms of feature extraction methods are: single dense sampling (baseline), dense sampling + Trajectory Correction (baseline + TC), dense sampling + Concept Dictionary (baseline + CD), Cluster, 26 and MVAD 27 . The comparison algorithm of feature selection adopts SIFT, 28 SURF, 29 LBP, 30 Cluster, and MVAD.…”

Section: Performance Evaluationmentioning

confidence: 99%

Leveraging recommendation systems for improving caching emerging short video in content delivery network

2020

Trans Emerging Tel Tech

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Short video applications have rapidly become one of the most popular online entertainments. It is also one of the most important ways of social networking. However, the request pattern of short videos shows the characteristics of highly dynamic compared to traditional video. First, the access of short video is changing quickly, that is, user shows less preferences. Second, most short videos have no tag descriptions. These result in a significant reduction in caching efficiency of content delivery network (CDN) server, which is used to cache short videos. To address these challenges, this article proposes a recommendation system to optimize short video caching. For lack of tag description, this article proposes event detection method to recognize tags based on improved dense trajectory and concept dictionary video feature extraction. Then the collaborative filtering method is used to generate caching recommendation list for CDN to guide short video caching. Simulation results show that the proposed method can significantly improve the efficiency of short video caching for CDN.

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Novel OGBEE-based feature selection and feature-level fusion with MLP neural network for social media multimodal sentiment analysis

Bairavel¹,

Krishnamurthy²

2020

Soft Comput

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WITHDRAWN: Feature extraction algorithm of audio and video based on clustering in sports video analysis

Cited by 4 publications

References 16 publications

Automatic Detection Algorithm of Football Events in Videos

Automatic Detection Algorithm of Football Events in Videos

Leveraging recommendation systems for improving caching emerging short video in content delivery network

Novel OGBEE-based feature selection and feature-level fusion with MLP neural network for social media multimodal sentiment analysis

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