Image and video technology : 10th Pacific-Rim symposium, PSIVT 2022, virtual event, November 12-14, 2022, proceedings / / edited by Han Wang [and seven others]

• Pubblicazione: Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]; ©2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (208 pages)
• Disciplina: 006.37
• Soggetto topico: Computer vision; Digital video; Image processing - Digital techniques; Imaging systems
• Persona (resp. second.): WangHan
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Image and Video Technology
• ISBN: 9783031264313; 9783031264306
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910720067903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13763