Prototyping of Deep Learning for Selling Tourism Merchandise and Donating Traditional Dance Performance

Tomatala, Michel Farrel; Mambu, Joe Yuan

doi:10.1109/icoris52787.2021.9649595

Cited by 1 publication

(1 citation statement)

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“…A growing number of computer vision applications are being developed for dance images, and these include movement correction for professional dancers, dance selfhelp teaching, and other applications. ey can also be used in athletes' movement analysis, competition arbitration, movement recognition, and motion recognition in film and television entertainment, assisted game design, augmented reality (AR), and virtual reality (VR) [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Aesthetic Index Analysis of Fusion of Folk Martial Arts and Dance Based on Deep Learning Algorithm

Wei

Huang

2022

Mathematical Problems in Engineering

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In this paper, we propose a computable method to evaluate the aesthetic value of fusion images of folk martial arts and dance based on human visual and aesthetic habits, extract features and use them as evaluation indexes from three aspects: technical features, perceptual features, and social features, establish an aesthetic evaluation model by fusing each index, and determine the influence factors of each index by using online research. The aesthetic evaluation of fusion images of folk martial arts and dance is carried out automatically. The results of the experimental tests on the evaluation dataset of the aesthetic quality of fusion images of folk martial arts and dance at the Communication University of China show that the accuracy of the proposed deep learning algorithm-based method for analyzing the aesthetic index of fusion of folk martial arts and dance can reach 98.08% with certain validity, and the evaluation results of each index are clear and intuitive, which can play a guiding role in improving the aesthetic quality of fusion of folk martial arts and dance from various angles. It can be used as a guide to improving the aesthetics of the fusion of folk martial arts and dance from various perspectives. By integrating the model into the mobile application, it is possible to evaluate and score the aesthetics of multiple portrait photos uploaded by users and select photos to be kept or deleted based on the scoring results, thus simplifying user operations.

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Section: Introductionmentioning

confidence: 99%