scholarly journals Standardized Judgment Method of Shooting Training Action Based on Digital Video Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Guo Qing ◽  
HuBao Hui
Keyword(s):  
Digital Video ◽  
Video Sequence ◽  
Training Image ◽  
Video Technology ◽  
Background Estimation ◽  
Update Rate ◽  
Pixel Value ◽  
Compression Coding ◽  
Short Time ◽  
Basketball Shooting

Aiming at the difficulty of standardizing the action of basketball shooting training, a new method of standardizing the action of basketball shooting training is proposed based on digital video technology. The digital video signal representation, video sequence coding data structure, and video sequence compression coding method are analyzed, and the pixels of basketball shooting training action position space are sampled to collect basketball shooting training images. The time difference method is used to extract the movement target of basketball shooting training from a digital video sequence. Based on digital video technology, the initial background image is estimated, and the update rate is introduced to update the background estimation image. According to the pixel value sequence of the basketball shooting training image, the pixel model of the basketball shooting training image is defined and modified. By judging whether the defined pixel value matches the background parameter model, the standardization of shooting training can be realized. The experimental results show that the proposed method has good stability, high precision, and short time in determining the standardization of shooting movement, can correct the wrong shooting movement in real time, and can effectively guide basketball shooting training.

Video Democracies

2016 ◽  
Author(s):  
Blake Atwood
Keyword(s):  
21St Century ◽  
Digital Video ◽  
Cultural Value ◽  
Technological Changes ◽  
Video Technology ◽  
The World ◽  
Widespread Acceptance ◽  
History Of

This chapter speaks to the ways in which reform cinema was wrapped up in the technological changes during Khatami’s presidency. In particular, video technology, which was banned in Iran between 1982 and 1993, gained widespread acceptance during Khatami’s presidency. Meanwhile, the proliferation of digital video at the beginning of the 21st century was changing what it meant to make and watch movies around the world. Abbas Kiarostami’s Taste of Cherry (1997) and Ten (2002) and Bahman Farmanara’s The Smell of Camphor, the Scent of Jasmine (2001) speak to this changing technology, and they play with video in order to show how this technology was democratizing filmmaking in Iran. This chapter contextualizes Kiarostami’s and Farmanara’s films by suggesting a history of video technology in Iran, one which demonstrates that the changing cultural value of video developed in tandem with Khatami’s discourse of reform.

scholarly journals Fast background estimation on long video sequence

2019 ◽  
Vol 55 (16) ◽  
pp. 888-890 ◽  
Author(s):  
Hui‐Ni Fu ◽  
Ben‐Zhang Wang ◽  
Heng‐Zhu Liu
Keyword(s):  
Video Sequence ◽  
Background Estimation

Research on Panoramic Digital Video Mosaic Algorithm

2011 ◽  
Vol 71-78 ◽  
pp. 3967-3970
Author(s):  
Hua De Huang
Keyword(s):  
Digital Video ◽  
Video Production ◽  
Video Technology ◽  
Paper Briefly ◽  
Advantages And Disadvantages ◽  
Registration Algorithm ◽  
Video Research ◽  
Image Registration Algorithm ◽  
Feature Line ◽  
Core Issues

The paper briefly sums up the digital video panorama stitching steps, core issues and common registration algorithm on the base research of panoramic digital video technology. Also image registration algorithm based on feature line segment ratio is applied to educational panoramic digital video production. Examples have shown that the algorithm has good results in convergence rate, accuracy, and workload and so on, which has proved valuable in the digital video research. The advantages and disadvantages of the algorithm are summarized for the further study.

scholarly journals conference_041818.pdf

2019 ◽  
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Dilip Kumar Prasad ◽  
Klaus D. Mcdonald-Maier
Keyword(s):  
Energy Consumption ◽  
Training Image ◽  
Transport Systems ◽  
Test Case ◽  
Image Frame ◽  
Embedded Device ◽  
Time Period ◽  
Bayesian Update ◽  
The Individual ◽  
Short Time

<div><div><div><p>Analyzing video for traffic categorization is an important pillar of Intelligent Transport Systems. However, it is difficult to analyze and predict traffic based on image frames because the representation of each frame may vary significantly within a short time period. This also would inaccurately represent the traffic over a longer period of time such as the case of video. We propose a novel bio-inspired methodology that integrates analysis of the previous image frames of the video to represent the analysis of the current image frame, the same way a human being analyzes the current situation based on past experience. In our proposed methodology, called IRON-MAN (Integrated Rational prediction and Motionless ANalysis), we utilize Bayesian update on top of the individual image frame analysis in the videos and this has resulted in highly accurate prediction of Temporal Motionless Analysis of the Videos (TMAV) for most of the chosen test cases. The proposed approach could be used for TMAV using Convolutional Neural Network (CNN) for applications where the number of objects in an image is the deciding factor for prediction and results also show that our proposed approach outperforms the state-of-the-art for the chosen test case. We also introduce a new metric named, Energy Consumption per Training Image (ECTI). Since, different CNN based models have different training capability and computing resource utilization, some of the models are more suitable for embedded device implementation than the others, and ECTI metric is useful to assess the suitability of using a CNN model in multi-processor systems-on-chips (MPSoCs) with a focus on energy consumption and reliability in terms of lifespan of the embedded device using these MPSoCs.</p></div></div></div>

Documentation of Surgical Specimens Using Digital Video Technology

2006 ◽  
Vol 130 (9) ◽  
pp. 1335-1338 ◽  
Author(s):  
Héctor Melín-Aldana ◽  
Barbara Carter ◽  
Debra Sciortino
Keyword(s):  
Web Sites ◽  
Digital Technology ◽  
Digital Video ◽  
The Internet ◽  
Video Technology ◽  
File Size ◽  
3 Dimensional ◽  
Hospital Networks ◽  
E Mail ◽  
Intended Use

Abstract Context.—Digital technology is commonly used for documentation of specimens in anatomic pathology and has been mainly limited to still photographs. Technologic innovations, such as digital video, provide additional, in some cases better, options for documentation. Objective.—To demonstrate the applicability of digital video to the documentation of surgical specimens. Design.—A Canon Elura MC40 digital camcorder was used, and the unedited movies were transferred to a Macintosh PowerBook G4 computer. Both the camcorder and specimens were hand-held during filming. The movies were edited using the software iMovie. Annotations and histologic photographs may be easily incorporated into movies when editing, if desired. Results.—The finished movies are best viewed in computers which contain the free program QuickTime Player. Movies may also be incorporated onto DVDs, for viewing in standard DVD players or appropriately equipped computers. The final movies are on average 2 minutes in duration, with a file size between 2 and 400 megabytes, depending on the intended use. Because of file size, distribution is more practical via CD or DVD, but movies may be compressed for distribution through the Internet (e-mail, Web sites) or through internal hospital networks. Conclusions.—Digital video is a practical, easy, and affordable methodology for specimen documentation, permitting a better 3-dimensional understanding of the specimens. Discussions with colleagues, student education, presentation at conferences, and other educational activities can be enhanced with the implementation of digital video technology.

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