Image and Video Technology  10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12-14, 2022, Proceedings /  [electronic resource] : 
edited by Han Wang, Wei Lin, Paul Manoranjan, Guobao Xiao, Kap Luk Chan, Xiaonan Wang, Guiju Ping, Haoge Jiang. 
 - 1st ed. 2023. 
 - X, 198 p. 76 illus., 70 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  13763  1611-3349 ; .
 - Lecture Notes in Computer Science,  13763 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031264313 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-26431-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Multimedia systems.<br/>Multimedia Information Systems.
<br/><br/><label>LC Class. No.: </label>QA76.575 
<br/><br/><label>Dewey Class. No.: </label>006.7