Image and Video Technology - 10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12-14, 2022, Proceedings

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.

List of contents

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.

Product details

• Assisted by: Kap Luk Chan (Editor), Haoge Jiang (Editor), Wei Lin (Editor), Paul Manoranjan (Editor), Paul Manoranjan et al (Editor), Manoranjan Paul (Editor), Guiju Ping (Editor), Han Wang (Editor), Xiaonan Wang (Editor), Guibao Xiao (Editor), Guobao Xiao (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.06.2023
• EAN: 9783031264306
• ISBN: 978-3-0-3126430-6
• No. of pages: 198
• Dimensions: 155 mm x 11 mm x 235 mm
• Illustrations: X, 198 p. 76 illus., 70 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software