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Advances in Visual Computing : 19th International Symposium, ISVC 2024, Lake Tahoe, NV, USA, October 21–23, 2024, Proceedings, Part II / edited by George Bebis, Vishal Patel, Jinwei Gu, Julian Panetta, Yotam Gingold, Kyle Johnsen, Mohammed Safayet Arefin, Soumya Dutta, Ayan Biswas.
Springer Nature - Springer Computer Science eBooks 2025 English International Available online
View online- Format:
- Book
- Author/Creator:
- Bebis, George.
- Series:
- Lecture Notes in Computer Science, 1611-3349 ; 15047
- Language:
- English
- Subjects (All):
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Artificial intelligence.
- Application software.
- Social sciences--Data processing.
- Social sciences.
- Computer networks.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computer Application in Social and Behavioral Sciences.
- Computer Communication Networks.
- Local Subjects:
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Computer Application in Social and Behavioral Sciences.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (633 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- This two-volume set LNCS 15046 and 15047 constitutes the refereed proceedings of the 17th International Symposium, ISVC 2024, held at Lake Tahoe, NV, USA, during October 21-23, 2024. The 54 (60) full papers and 12 poster papers were carefully reviewed and selected from 120 submissions. A total of 8 (13) papers were also accepted for oral presentation in special tracks from 15 submissions. The papers cover the following topical sections: Part I: Deep Learning; Computer Graphics; Video Analysis and Event Recognition; Motion and Tracking; Detection and Recognition; Visualization, and Medical Image Analysis. Part II: Segmentation; Recognition; Generalization in Visual Machine Learning; Vision and Robotics for Agriculture; Virtual Reality; Applications, and Poster.
- Contents:
- Segmentation: Generating Synthetic Tree Point Clouds for Deep Learning Applications in Remote Sensing
- Image Segmentation by Latent Space Phase-Gating with Applications in High-Content Screening
- Evaluating Segmentation of Human Body Parts across Datasets. Recognition: Unsupervised Effectiveness Estimation Measure Based on Rank Correlation for Image Retrieval
- VLPSR: Enhancing Zero-shot Object ReID with Vision-language Model
- Sign Language Recognition using Visual Hand Landmarks and the Parameters of American Sign Language. ST: Generalization in Visual Machine Learning: Self-Supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics
- Selective Noise-Aided Machine Unlearning with Deep Feature Visualization
- Investigating the Impact of a Foundational Medical Image Model for CT Classification. ST: Vision and Robotics for Agriculture: Vision-based Xylem Wetness Classification in Stem Water Potential Determination
- HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
- Machine Vision and Deep Learning, for Robotic Harvesting of Shiitake Mushrooms
- Video analyses of Water Drop Penetration Time Using Temporal Action Localization for Evaluating Soil Water Repellency
- SAMPLS: A prompt engineering approach using Segment-Anything-Model for PLant Science research. Virtual Reality: Impact of Relevant Augmented Reality Information on Human Performance
- Toward Dynamic NPC Interactions: Integrating GPT-Driven Agents in 3D Virtual Environments
- Exploring Ecological Validity: A Comparative Study of the Mere Exposure Effect on Screens and in Immersive Virtual Reality
- Increasing Training Effciency of Motion-Intensive Virtual Reality Training with Adaptations based on Physiological Measurement Data. Applications: Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis
- Enhancing Classification of Aquatic Species through Supervised Contrastive Learning and Advanced Image Super-Resolution
- Automated Corrosion Identification in Metal Imagery: Traditional vs. Deep Learning
- Underwater Image Restoration using Light Attenuation
- HCC: An explainable framework for classifying discomfort from video. Poster: Enhanced Maritime Safety through Deep Learning and Feature Selection
- Discrete Anomalous Regions (DAR) - going beyond heatmaps and predicting actionable discrete regions
- Learning Flight Path Based on Recording Image and Flight Operation
- MobileNetV2-Enhanced Depth Map Super-Resolution through Multi-Scale Image Guidance
- Road Surface Material Recognition from Dashboard Cameras
- Embedded-ViT: A Framework for Embedded Deployment of Vision-Transformer in Medical Applications
- An Image-Based Method for Defect Detection on Metal Surfaces
- Real-Time Evaluation of Aircraft Instruments
- Enhancing Learned Image Compression via Cross Window-based Attention
- A Design of Real-Time Style-Transfer Operations in a Game Engine
- PLOV: A Visualization Tool For Exploring Visibility in Family Living Situations
- Exploring Gesture-Based Interaction in Smartwatch Games: A Comparative Study between Continuous Gesture Recognition and Hidden Markov Models.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031773891
- OCLC:
- 1490381569
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