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001482722 001__ 1482722
001482722 003__ OCoLC
001482722 005__ 20231128003348.0
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001482722 008__ 231030s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482722 020__ $$a9783031463082$$q(electronic bk.)
001482722 020__ $$a3031463080$$q(electronic bk.)
001482722 020__ $$z9783031463075
001482722 0247_ $$a10.1007/978-3-031-46308-2$$2doi
001482722 035__ $$aSP(OCoLC)1406794831
001482722 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO
001482722 049__ $$aISEA
001482722 050_4 $$aT385$$b.I585 2023eb
001482722 08204 $$a006.6$$223/eng/20231030
001482722 1112_ $$aInternational Conference on Image and Graphics$$n(12th :$$d2023 :$$cNanjing Shi, China)
001482722 24510 $$aImage and graphics :$$b12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings.$$nPart II /$$cHuchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu, editors.
001482722 2463_ $$aICIG 2023
001482722 264_1 $$aCham :$$bSpringer,$$c2023.
001482722 300__ $$a1 online resource (xv, 436 pages) :$$billustrations (some color).
001482722 336__ $$atext$$btxt$$2rdacontent
001482722 337__ $$acomputer$$bc$$2rdamedia
001482722 338__ $$aonline resource$$bcr$$2rdacarrier
001482722 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14356
001482722 500__ $$aIncludes author index.
001482722 5050_ $$aComputer Vision and Pattern Recognition: Temporal Global Re-Detection Based on Interaction-Fusion Attention in Long-Term Visual Tracking -- VLNet: A Multi-task Network for Joint Vehicle and Lane Detection -- Adaptive Cost Aggregation in Iterative Depth Estimation for Efficient Multi-View Stereo -- A Novel Semantic Segmentation Method for High-Resolution Remote Sensing Images Based on Visual Attention Network -- Efficient Few-shot Image Generation via Lightweight Octave Generative Adversarial Networks -- Incorporating Global Correlation and Local Aggregation for Efficient Visual Localization -- Deep Interactive Image Semantic and Instance Segmentation -- Learning High-Performance Spiking Neural Networks With Multi-Compartment Spiking Neurons -- Attribute Space Analysis for Image Editing.-SAGAN: Self-Attention Generative Adversarial Net-work for RGB-D Saliency Prediction -- Behavioural State Detection Algorithm for Infants and Toddlers Incorporating Multi-scale Contextual Features -- Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark -- Dual Fusion Network for Hyperspectral Semantic Segmentation -- Strip-FFT Transformer for single image deblurring -- Vision-Language Adaptive Mutual Decoder for OOV-STR -- DensityLayout: Density-conditioned Layout GAN for Visual-textual Presentation Designs -- GLTCM: Global-Local Temporal and Cross-Modal Network for Audio-Visual Event Localization -- Recent Advances in Class-Incremental Learning -- TTA-GCN: Temporal Topology Aggregation for Skeleton-Based Action Recognition -- A Stable Long-Term Tracking Method For Group-Housed Pigs -- Dynamic Attention for Isolated Sign Language Recognition with Reinforcement Learning -- A Segmentation Method based on SE Attention and U-Net for Apple Image -- Human Action Recognition Method based on spatio-temporal relationship -- Facial expression recognition from occluded images using deep convolution neural network with Vision Transformer -- Learning Discriminative Proposal Representation for Multi-Object Tracking -- Virtual-Violence: A Brand-New Dataset for Video Violence Recognition -- A novel Attention-DeblurGAN-Based Defogging Algorithm -- Multi-Modal Context-Aware Network for Scene Graph Generation -- VQA-CLPR: Turning a Visual Question Answering Model into a Chinese License Plate Recognizer -- Unsupervised Vehicle Re-Identification via Raw UAV Videos -- Distance-Aware Vector-Field and Vector Screening Strategy for 6D Object Pose Estimation -- SSTA-Net: Self-supervised Spatio-Temporal Attention Network for Action Recognition -- Gesture recognition method based on Sim-ConvNeXt model -- Research on Airborne Infrared Target Recognition Method based on Target-Environment Coupling -- Semantic and Gradient Guided Scene Text Image Super-Resolution.
001482722 506__ $$aAccess limited to authorized users.
001482722 520__ $$aThe five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22-24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high quality peer reviewed oral and poster presentations.
001482722 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 30, 2023).
001482722 650_6 $$aInfographie$$vCongrès.
001482722 650_6 $$aTraitement d'images$$xTechniques numériques$$vCongrès.
001482722 650_0 $$aComputer graphics$$vCongresses.$$0(DLC)sh2006004464
001482722 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
001482722 655_0 $$aElectronic books.
001482722 7001_ $$aLu, Huchuan,$$eeditor.$$1https://orcid.org/0000-0002-6668-9758
001482722 7001_ $$aOuyang, Wanli,$$eeditor.$$0(orcid)0000-0002-9163-2761$$1https://orcid.org/0000-0002-9163-2761
001482722 7001_ $$aHuang, Hui,$$eeditor.$$0(orcid)0000-0003-3212-0544$$1https://orcid.org/0000-0003-3212-0544
001482722 7001_ $$aLu, Jiwen,$$eeditor.$$1https://orcid.org/0000-0002-6121-5529
001482722 7001_ $$aLiu, Risheng,$$eeditor.$$0(orcid)0000-0002-9554-0565$$1https://orcid.org/0000-0002-9554-0565
001482722 7001_ $$aDong, Jing,$$cPh. D.,$$eeditor.$$1https://orcid.org/0000-0002-2763-7832
001482722 7001_ $$aXu, Min,$$cDr.,$$eeditor.$$1https://orcid.org/0000-0001-9581-8849
001482722 830_0 $$aLecture notes in computer science ;$$v14356.$$x1611-3349
001482722 852__ $$bebk
001482722 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46308-2$$zOnline Access$$91397441.1
001482722 909CO $$ooai:library.usi.edu:1482722$$pGLOBAL_SET
001482722 980__ $$aBIB
001482722 980__ $$aEBOOK
001482722 982__ $$aEbook
001482722 983__ $$aOnline
001482722 994__ $$a92$$bISE