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Image and Video Technology: 10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12–14, 2022, Proceedings: Lecture Notes in Computer Science, cartea 13763

Editat de Han Wang, Wei Lin, Paul Manoranjan, Guobao Xiao, Kap Luk Chan, Xiaonan Wang, Guiju Ping, Haoge Jiang
en Limba Engleză Paperback – 28 apr 2023
This book constitutes the conference proceedings of the 10th Pacific Rim Symposium on Image and Video Technology, PSIVT 2022, held in Bintan Island, Indonesia, in November 2022. A total of 15 papers were carefully reviewed and selected from 18 submissions. The main conference focuses on theoretical advances or practical implementations in image and video technology.
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Specificații

ISBN-13: 9783031264306
ISBN-10: 3031264304
Pagini: 198
Ilustrații: X, 198 p. 76 illus., 70 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

Waste Classification from Digital Images Using ConvNeXt.- A Federated Learning approach for text classification using NLP.- A_Method_for_Face_Image_Inpainting_Based_on_Autoencoder_and_Adversarial_Generative_Networks.- Traffic Sign Recognition from Digital Images by Using Deep Learning.- Youtube Engagement Analytics via Deep Multimodal Hybrid Fusion.- Dynamic Point Cloud Compression with Cross-Sectional Approach.- Event-based visual sensing for human motion detection and classification at various distances.- On Low-Resolution Face Re-identification with High-Resolution-Mapping.- On Skin Lesion Recognition using Deep Learning 50 Ways to Choose Your Model.- Enhancing Automated Baggage Inspection Using Simulated X-ray Images of 3D Models.- A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation Rapid On-site Weed Identification with Machine Learning.- Remote Tiny Weeds Detection.- Combining_Multivision_Embedding_in_Contextual_Attention_for_Vietnamese_Visual_Question_Answering.- Depth Estimation of Traffic Scenes from Image Sequence Using Deep Learning.