Frontiers of Computer Vision (Record no. 88442)

000 -LEADER
fixed length control field 05122nam a22006375i 4500
001 - CONTROL NUMBER
control field 978-981-97-4249-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172625.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240629s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819742493
-- 978-981-97-4249-3
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Frontiers of Computer Vision
Sub Title 30th International Workshop, IW-FCV 2024, Tokyo, Japan, February 19-21, 2024, Revised Selected Papers /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 161 p. 81 illus., 72 illus. in color.
490 1# - SERIES STATEMENT
Series statement Communications in Computer and Information Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 -- Tackling Background Misclassification in Box-supervised Segmentation: A Background Constraint Approach. -- Clustering of Face Images in Video by Using Deep Learning. -- Exploring the Impact of Various Contrastive Learning Loss Functions on Unsupervised Domain Adaptation in Person Re-identification. -- Automatic Measured Drawing Generation for Mokkan Using Deep Learning. -- Monocular Absolute 3D Human Pose Estimation with an Uncalibrated Fixed Camera. -- Technical Skill Evaluation and Training using Motion Curved Surface in Considered Velocity and Acceleration. -- A Benchmark for 3D Reconstruction with Semantic Completion in Dynamic Environments. -- Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages. -- Human Facial Age Group Recognizer using Assisted Bottleneck Transformer Encoder. -- Efficient Detection Model using Feature Maximizer Convolution for Edge Computing. -- Spatial Attention Network with High Frequency Component for Facial Expression Recognition. -- Minor Object Recognition from Drone Image Sequence.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the revised selected papers from the 30th International Workshop on Frontiers of Computer Vision, IW-FCV 2024, held in Tokyo, Japan, in February 19-21, 2024. IW-FCV 2024 is an annual workshop that brings together researchers in the field of computer vision and artificial intelligence to share their research results. This workshop was started 30 years ago as a way to strengthen networking and share research results between Japanese and Korean researchers. It has since grown in scope and influence and has become an international event since 2017. The 12 full papers, carefully reviewed and selected from 61 submissions, primarily focus on the fundamental theories, techniques, and algorithms related to computer vision and image signal processing, with particular emphasis on practical applications. These papers deal with the following topics: Fundamentals and Theory (e.g., image filtering / enhancement / restoration, color and illumination analysis, and image coding), Computer Vision and Image Analysis (e.g., shape from-X, object detection and tracking, and deep learning for computer vision), Applications (e.g., image/video search and retrieval, surveillance, AR/VR/MR/HR, and bio-medical image analysis), and Recognition and Learning (e.g., 2D/3D object recognition, face and gesture recognition, and human pose estimation). .
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
700 1# - AUTHOR 2
Author 2 Irie, Go.
700 1# - AUTHOR 2
Author 2 Shin, Choonsung.
700 1# - AUTHOR 2
Author 2 Shibata, Takashi.
700 1# - AUTHOR 2
Author 2 Nakamura, Kazuaki.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-97-4249-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer networks .
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Social sciences
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Application in Social and Behavioral Sciences.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1865-0937 ;
912 ## -
-- ZDB-2-SCS
912 ## -
-- ZDB-2-SXCS

No items available.