Analysis of Volleyball Video Intelligent Description Technology Based on Computer Memory Network and Attention Mechanism

Zhang, Zhongzi

doi:10.1155/2021/7976888

Cited by 5 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A scorer accompanies the controller to write down the speed that the players perform during 10 shots. In addition, a video camera is used that is located to the side of the players, at an adequate distance, to document the movements of the shot and the control of the time from the touch of the ball hit until it makes contact with the floor, this being one of the examples where technology is used to improve the conditions of the game [9][10][11][12].…”

Section: Discussionmentioning

confidence: 99%

Descriptive analysis of the elevation in the third time of volleyball through the "Tracker" program

I¹,

LE²,

A³

et al. 2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

In the game of volleyball, the correct elevation of the ball for offensive shots is essential to exert an adequate ball hit and achieve points in favor. The objective of the present investigation was to establish a range in the elevation of the third time towards position 4 to improve the attack in volleyball players. For this investigation, a protocol was created that equalizes the conditions and executions that are carried out during an official volleyball match, this protocol was applied to 13 players in the position of male lifter from different selective teams in Puebla city. The method of observation and measurement by videometry was used and 13 elevators from the state of Puebla selected in a non-probabilistic way were compared, each one made 10 elevations as established by the protocol, each one of the subjects to be studied was recorded and each one was cut video to a direction of 3 to 5 seconds with the help of the online video trimmer, once the cuts were made, it was analyzed with the help of the "Tracker" program that analyzes the parabolic shot, as is the elevation in volleyball, this program locates the ball by points and with a Cartesian plane as well as with its respective calibration offers numbers in meters according to each point that the program locates. With the data obtained, the range for elevation can be known and thus the coach can have one more tool on how to evaluate his player in the point guard position.

show abstract

Section: Discussionmentioning

confidence: 99%

Descriptive analysis of the elevation in the third time of volleyball through the "Tracker" program

I¹,

LE²,

A³

et al. 2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…These interferences may lead to large errors between the acquired images and the actual products, which will inevitably result in overfitting or low accuracy when they are transferred to the system. These disturbances may lead to large errors between the acquired images and the actual products, which may result in overfitting or low accuracy when transmitted to the system, and subsequent image segmentation, recognition, and classification may produce deviations and affect the results of image analysis and processing [ 14 ]. In order to solve such problems, the acquired images must be preprocessed with noise removal and enhancement.…”

Section: Methodsmentioning

confidence: 99%

An Improved Model of Product Classification Feature Extraction and Recognition Based on Intelligent Image Recognition

Gan

Zhang

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

With the development of the new generation of technological revolution, the manufacturing industry has entered the era of intelligent manufacturing, and people have higher and higher requirements for the technology, industry, and application of product manufacturing. At present, some factories have introduced intelligent image recognition technology into the production process in order to meet the needs of customers' personalized customization. However, the current image recognition technology has limited capabilities. When faced with many special customized products or complex types of small batch products in the market, it is still impossible to perfectly analyze the product requirements and put them into production. Therefore, this paper conducts in-depth research on the improved model of product classification feature extraction and recognition based on intelligent image recognition: 3D modeling of the target product is carried out, and various data of the model are analyzed and recorded to facilitate subsequent work. Use the tools and the established 3D model tosimulate the parameters of the product in the real scene, and record them. Atthe same time, various methods such as image detection and edge analysis areused to maximize the accuracy of the obtained parameters, and variousalgorithms are used for cross-validation to obtain the correct rate of the obtaineddata, and the standard is 90% and above. Build a data platform, compare simulated data with display data by software and algorithm, and check by cloud computing force, so that the model data can be as close to the parameters of the real product as possible. Experimental results show that the algorithm has high accuracy and can meet the requirements of different classification prospects in actual production.

show abstract

“…e machine translation model introduces artificial intelligence technology to diversify the posttranslation strategies, adjust the translation parameters according to the information such as cultural and language characteristics and determine the translation standards for different needs [21]. Different languages have their own language patterns [22]. Machine translation needs accurate simulation on the basis of language structure and flexible processing of language information.…”

Section: English Term Translation Model Based On Artificial Intellige...mentioning

confidence: 99%

Analysis of English Translation Model Based on Artificial Intelligence Attention Mechanism

Lihua

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The particularity and quantity of English translation terms have a great impact on the quality and effect of machine translation and can not meet the requirements of English translation of terms. At the same time, technical exchange and communication in different fields need the expression of professional terms. In addition, although the neural machine translation model has good translation performance, it is not ideal for target languages with small translation needs and limited corpus resources. In order to solve the problems existing in the English translation model, this paper constructs the transformer model by replacing the cyclic neural network variables and introducing the attention mechanism. The term information is integrated into two pretraining models to improve the learning ability of model language sentence relationship. Maintain the integrity of terminology information by fully completing the training. The experimental results show that, compared with the other three term translation models, the translation model in this paper has the advantage of term information. At the same time, the deep neural network English term translation model can obtain more fine-grained word relevance. In different corpora, the Bleu score of the model is good, showing obvious translation performance advantages. This study provides a good professional reference value for the translation of English terms.

show abstract

Analysis of Volleyball Video Intelligent Description Technology Based on Computer Memory Network and Attention Mechanism

Cited by 5 publications

References 25 publications

Descriptive analysis of the elevation in the third time of volleyball through the "Tracker" program

Descriptive analysis of the elevation in the third time of volleyball through the "Tracker" program

An Improved Model of Product Classification Feature Extraction and Recognition Based on Intelligent Image Recognition

Analysis of English Translation Model Based on Artificial Intelligence Attention Mechanism

Contact Info

Product

Resources

About