001482720 000__ 06649cam\\22006257i\4500
001482720 001__ 1482720
001482720 003__ OCoLC
001482720 005__ 20231128003348.0
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001482720 008__ 231030s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001482720 020__ $$a9783031463112$$q(electronic bk.)
001482720 020__ $$a3031463110$$q(electronic bk.)
001482720 020__ $$z9783031463105
001482720 0247_ $$a10.1007/978-3-031-46311-2$$2doi
001482720 035__ $$aSP(OCoLC)1406780574
001482720 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCO
001482720 049__ $$aISEA
001482720 050_4 $$aT385$$b.I585 2023eb
001482720 08204 $$a006.6$$223/eng/20231030
001482720 1112_ $$aInternational Conference on Image and Graphics$$n(12th :$$d2023 :$$cNanjing Shi, China)
001482720 24510 $$aImage and graphics :$$b12th International Conference, ICIG 2023, Nanjing, China, September 22-24, 2023, Proceedings.$$nPart III /$$cHuchuan Lu, Wanli Ouyang, Hui Huang, Jiwen Lu, Risheng Liu, Jing Dong, Min Xu, editors.
001482720 2463_ $$aICIG 2023
001482720 264_1 $$aCham :$$bSpringer,$$c2023.
001482720 300__ $$a1 online resource (xvi, 420 pages) :$$billustrations (some color).
001482720 336__ $$atext$$btxt$$2rdacontent
001482720 337__ $$acomputer$$bc$$2rdamedia
001482720 338__ $$aonline resource$$bcr$$2rdacarrier
001482720 4901_ $$aLecture notes in computer science,$$x1611-3349 ;$$v14357
001482720 500__ $$aIncludes author index.
001482720 5050_ $$aComputer Vision and Pattern Recognition: Adaptive Fine-Grained Region Matching for Image Harmonization -- Inscription-Image Inpainting with Edge Structure Reconstruction -- RatiO R-CNN: An Efficient and Accurate Detection Method for Oriented Object Detection -- Student Classroom Behavior Detection based on YOLOv7+BRA and Multi-Model Fusion -- Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery -- Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment -- Single Image Dehazing with Deep-Image-Prior Networks -- Learning Sparse Neural Networks with Identity Layers -- Dense Small Object Detection based on Improved Deep Separable Convolution YOLOv5- A Multimodal Text Block Segmentation Framework for Photo Translation -- End-to-end Multilingual Text Recognition Based on Byte Modeling -- Disentangled Shape and Pose Based on Attention and Mesh Autoencoder -- Wavelet Knowledge Distillation via Decoupled Target for Scene Text Detection -- MGP-Net:Margin-Global information optimization-Prototype Network For few-shot Ancient Inscriptions Classification -- Structure-aware Point Cloud Completion -- Foreign Object Detection based on Compositional scene Modeling -- Computer Graphics and Visualization: Geometric Encoding-based Attention Mechanism for Point Cloud Registration Network -- End-to-end phase retrieval from single-shot fringe image for 3D face reconstruction -- Multi-modal Stream Fusion for Skeleton-Based Action Recognition -- 3D Object Recognition Based on Point Cloud Geometry Construction and Embeddable Attention -- The Research Landscape of Site-Specific Art in Public Art Map Quantification Based on Citespace -- Research on Emotional Classification and Literary Narrative Visualization Based on Graph Convolutional Neural Network -- Novel 3D model zero-watermarking using geometrical and statistical features -- Compression, Transmission, Retrieval: Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction -- Patch-wise LiDAR Point Cloud Geometry Compression based on Autoencoder -- Astronomical Image Coding Based on Graph Fourier Transform -- A novel homogenized chaotic system compressed sensing image encryption algorithm -- Reversible data hiding in encrypted images based on quantization prediction error -- Improving Text Image Super-Resolution using Optimal Transport -- GAN-based Image Compression with Improved RDO Process -- Video Coding for Machines Based on Motion Assisted Saliency Analysis -- CSDNet: Contrastive Similarity Distillation Network for Multi-lingual Image-Text Retrieval -- Flexible Hierarchical Parallel Processing for AVS3 Video Coding -- Content-Adaptive Block Clustering for Improving VVC Adaptive Loop Filtering.
001482720 506__ $$aAccess limited to authorized users.
001482720 520__ $$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.
001482720 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 30, 2023).
001482720 650_6 $$aInfographie$$vCongrès.
001482720 650_6 $$aTraitement d'images$$xTechniques numériques$$vCongrès.
001482720 650_0 $$aComputer graphics$$vCongresses.$$0(DLC)sh2006004464
001482720 650_0 $$aImage processing$$xDigital techniques$$vCongresses.
001482720 655_0 $$aElectronic books.
001482720 7001_ $$aLu, Huchuan,$$eeditor.$$1https://orcid.org/0000-0002-6668-9758
001482720 7001_ $$aOuyang, Wanli,$$eeditor.$$0(orcid)0000-0002-9163-2761$$1https://orcid.org/0000-0002-9163-2761
001482720 7001_ $$aHuang, Hui,$$eeditor.$$0(orcid)0000-0003-3212-0544$$1https://orcid.org/0000-0003-3212-0544
001482720 7001_ $$aLu, Jiwen,$$eeditor.$$1https://orcid.org/0000-0002-6121-5529
001482720 7001_ $$aLiu, Risheng,$$eeditor.$$0(orcid)0000-0002-9554-0565$$1https://orcid.org/0000-0002-9554-0565
001482720 7001_ $$aDong, Jing,$$cPh. D.,$$eeditor.$$1https://orcid.org/0000-0002-2763-7832
001482720 7001_ $$aXu, Min,$$cDr.,$$eeditor.$$1https://orcid.org/0000-0001-9581-8849
001482720 830_0 $$aLecture notes in computer science ;$$v14357.$$x1611-3349
001482720 852__ $$bebk
001482720 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-46311-2$$zOnline Access$$91397441.1
001482720 909CO $$ooai:library.usi.edu:1482720$$pGLOBAL_SET
001482720 980__ $$aBIB
001482720 980__ $$aEBOOK
001482720 982__ $$aEbook
001482720 983__ $$aOnline
001482720 994__ $$a92$$bISE