001482721 000__ 06638cam\\22006257i\4500
001482721 001__ 1482721
001482721 003__ OCoLC
001482721 005__ 20231128003348.0
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001482721 008__ 231030s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482721 020__ $$a9783031463143$$q(electronic bk.)
001482721 020__ $$a3031463145$$q(electronic bk.)
001482721 020__ $$z9783031463136
001482721 0247_ $$a10.1007/978-3-031-46314-3$$2doi
001482721 035__ $$aSP(OCoLC)1406780607
001482721 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO
001482721 049__ $$aISEA
001482721 050_4 $$aT385$$b.I585 2023eb
001482721 08204 $$a006.6$$223/eng/20231030
001482721 1112_ $$aInternational Conference on Image and Graphics$$n(12th :$$d2023 :$$cNanjing Shi, China)
001482721 24510 $$aImage and graphics :$$b12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings.$$nPart IV /$$cHuchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu, editors.
001482721 2463_ $$aICIG 2023
001482721 264_1 $$aCham :$$bSpringer,$$c2023.
001482721 300__ $$a1 online resource (xv, 426 pages) :$$billustrations (some color).
001482721 336__ $$atext$$btxt$$2rdacontent
001482721 337__ $$acomputer$$bc$$2rdamedia
001482721 338__ $$aonline resource$$bcr$$2rdacarrier
001482721 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14358
001482721 500__ $$aIncludes author index.
001482721 5050_ $$aArtificial intelligence: Deep Discriminative Hashing for Cross-modal Hashing based Computer-aided Diagnosis -- Image Super-Resolution via Deep Dictionary Learning -- ACLM: Adaptive Compensatory Label Mining for Facial Expression Recognition -- Semantic-Guided Multi-Feature Fusion for Accurate Video Captioning -- Scale-Adaptive Multi-Area Representation for Instance Segmentation -- Multi-Level Semantic Extraction using Graph Pooling Network for Text Representation -- Research on Strategies for Tripeaks variant with various layouts -- A neural network model with the ringed residual block and attention mechanism for image forgery localization -- ACMA-GAN: Adaptive Cross-Modal Attention for Text-to-Image Generation -- Registration-propagated Liver Tumor Segmentation for Non-enhanced CT-based Interventions -- FML-MIS: A Scheme of Privacy Protection and Model Generalization for Medical Images Segmentation via Federated Meta-learning -- RoICLIP: Text-Enhanced UAV-based Video Object Detection -- Class Incremental Learning with Important and Diverse Memory -- Core Issues and Key Arguments of ChatGPT: Topic Mining and Sentiment Analysis Based on U.S. News Reports -- Joint Memory Propagation and Rectification for Video Object Segmentation -- A noval intelligent assessment based on audio-visual data for Chinese zither fingerings -- A Full-level Based Network to Detect Every Aircraft in Airport Scene -- Fusing Multi-scale Residual Network for Skeleton Detection -- LogoNet: a fine-grained network for instance-level logo sketch retrieval -- NCCNet: Arbitrary Neural Style Transfer with Multi-Channel Conversion -- BRMR : TAL Based on Boundary Refinement and Multi-scale Regression -- AE-Reorient: Active Exploration based Reorientation for Robotic Pick-and-Place -- A novel contactless prediction algorithm of indoor thermal comfort based on posture estimation -- A real-time wind turbine blade damage detection method based on an improved YOLOv5 algorithm -- Intensify Perception Transformer Generative Adversarial Network for Image Super-Resolution -- Referring Expression Comprehension Based on Cross Modal Feature Fusion and Iterative Reasoning -- ADS-B-based Spatial-Temporal multi-scale object detection network for airport scenes -- Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification -- Learning to Fuse Residual and Conditional Information for Video Compression and Reconstruction -- A two-stage 3D object detection algorithm based on deep learning -- Dual Temporal Memory Network for Video Salient Object Detection -- Cross-Modality Fused Graph Convolutional Network for Image-Text Sentiment Analysis -- Local and Global Feature Interaction Network for Endoscope Image classification.
001482721 506__ $$aAccess limited to authorized users.
001482721 520__ $$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.
001482721 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 30, 2023).
001482721 650_6 $$aInfographie$$vCongrès.
001482721 650_6 $$aTraitement d'images$$xTechniques numériques$$vCongrès.
001482721 650_0 $$aComputer graphics$$vCongresses.$$0(DLC)sh2006004464
001482721 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
001482721 655_0 $$aElectronic books.
001482721 7001_ $$aLu, Huchuan,$$eeditor.$$1https://orcid.org/0000-0002-6668-9758
001482721 7001_ $$aOuyang, Wanli,$$eeditor.$$0(orcid)0000-0002-9163-2761$$1https://orcid.org/0000-0002-9163-2761
001482721 7001_ $$aHuang, Hui,$$eeditor.$$0(orcid)0000-0003-3212-0544$$1https://orcid.org/0000-0003-3212-0544
001482721 7001_ $$aLu, Jiwen,$$eeditor.$$1https://orcid.org/0000-0002-6121-5529
001482721 7001_ $$aLiu, Risheng,$$eeditor.$$0(orcid)0000-0002-9554-0565$$1https://orcid.org/0000-0002-9554-0565
001482721 7001_ $$aDong, Jing,$$cPh. D.,$$eeditor.$$1https://orcid.org/0000-0002-2763-7832
001482721 7001_ $$aXu, Min,$$cDr.,$$eeditor.$$1https://orcid.org/0000-0001-9581-8849
001482721 830_0 $$aLecture notes in computer science ;$$v14358.$$x1611-3349
001482721 852__ $$bebk
001482721 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46314-3$$zOnline Access$$91397441.1
001482721 909CO $$ooai:library.usi.edu:1482721$$pGLOBAL_SET
001482721 980__ $$aBIB
001482721 980__ $$aEBOOK
001482721 982__ $$aEbook
001482721 983__ $$aOnline
001482721 994__ $$a92$$bISE