
Image and Video Technology
10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12-14, 2022, Proceedings
Springer (Publisher)
Published on 28. April 2023
Book
Paperback/Softback
X, 198 pages
978-3-031-26430-6 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
70 farbige Abbildungen, 6 s/w Abbildungen
X, 198 p. 76 illus., 70 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
324 gr
ISBN-13
978-3-031-26430-6 (9783031264306)
DOI
10.1007/978-3-031-26431-3
Schweitzer Classification
Other editions
Additional editions

Han Wang | Wei Lin | Paul Manoranjan
Image and Video Technology
10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12-14, 2022, Proceedings
E-Book
04/2023
Springer
€58.84
Available for download
Content
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.