Atjaunināt sīkdatņu piekrišanu

E-grāmata: Computer Vision and Image Processing: 7th International Conference, CVIP 2022, Nagpur, India, November 4-6, 2022, Revised Selected Papers, Part II

Edited by , Edited by , Edited by , Edited by , Edited by
Citas grāmatas par šo tēmu:
  • Formāts - EPUB+DRM
  • Cena: 189,75 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
Citas grāmatas par šo tēmu:

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4–6, 2022.

The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image  Analysis,  Image/  Video  Processing  for  Autonomous  Vehicles,  Activity Detection/  Recognition,  Human  Computer  Interaction,  Segmentation  and  Shape Representation,  Motion  and  Tracking,  Image/  Video  Scene  Understanding,  Image/Video  Retrieval,  Remote  Sensing,  Hyperspectral  Image  Processing,  Face,  Iris, Emotion, Sign Language and Gesture Recognition, etc.

An Efficient Residual Convolutional Neural Network with Attention
Mechanism for Smoke Detection in Outdoor Environment.- Expeditious Object
Pose Estimation for Autonomous Robotic Grasping.- SRTGAN: Triplet Loss based
Generative Adversarial Network for Real-World Super Resolution.- Machine
Learning Based Webcasting Analytics for Indian Elections - Reflections on
Deployment.- Real-time Plant SpeciesRecognition using Non-Averaged
DenseNet-169 Deep Learning Paradigm.- Self Similarity Matrix based CNN
Filter Pruning.- Class Agnostic, On-Device and Privacy Preserving Repetition
Counting of Actions from Videos using Similarity Bottleneck.- Class
Agnostic, On-Device and Privacy Preserving Repetition Counting of Actions
from Videos using Similarity Bottleneck.- Vehicle ReID: Learning Robust
Feature using Vision Transformer and Gradient Accumulation for Vehicle
Re-identification.- Attention Residual Capsule Network for Dermoscopy
ImageClassification.- SAMNet : Semantic Aware Multimodal Network for Emoji
Drawing Classification.- Segmentation of Smoke Plumes Using Fast Local
Laplacian Filtering.- Rain Streak Removal via Spatio-channel based Spectral
Graph CNN for Image Deraining.- Integration of GAN and Adaptive Exposure
Correction for Shadow Removal.- Non-invasive Haemoglobin Estimation using
Different Colour and Texture Features of Palm.- Detection of Coal Quarry and
Coal Dump Regions Using the Presence of Mine Water Bodies from Landsat 8
OLI/TIRS Images.- Brain tumor grade detection using Transfer learning and
Residual Multi-head Attention Network.- A curated dataset for spinach species
identification.- Mobile Captured Glass Board Image Enhancement.- Computing
Digital Signature by Transforming 2D Image to 3D:
AGeometric Perspective.- Varietal Classification of Wheat Seeds using
Hyperspectral Imaging Technique and Machine Learning Models.- CUSTOMIZED
PREVIEW VIDEO GENERATION USING VISUAL SALIENCY: A CASE STUDY WITH VISION
DOMINANT VIDEOS.- Deep Dilated Convolutional Network for Single Image
Dehazing.- T2CI-GAN: Text to Compressed Image generation using
Generative Adversarial Network.- Prediction of Fire Signatures Based on
Fractional Order Optical Flow and Convolution Neural Network.- Colonoscopy
Polyp Classification Adding Generated Narrow Band Imaging.- Multi-class
Weather Classification using Single image via feature fusion
and selection.- Scene Text Detection with Gradient Auto Encoders.- A Novel
Scheme for Adversarial Training to Improve the Robustness of DNN Against
White Box Attacks.- Solving Diagrammatic Reasoning Problems Using Deep
Learning.- Bird Species Classification from images using Deep
Learning.- Statistical Analysis of Hair Detection and Removal Techniques
using Dermoscopic Images.- TrafficSign Detection and Recognition using Dense
Connections in YOLOv4.- Novel Image and its Compressed Image Based on VVC
Standard, Pair Data Set for Deep Learning Image and Video Compression
Applications.- FAV-Net: A Simple Single-Shot Self-Attention Based
ForeArm-Vein Biometric.- Low-Textural Image Registration: Comparative
Analysis of Feature Descriptors.- Structure-Based Learning for Robust Defense
Against Adversarial Attacks in Autonomous Driving Agents.- Improvising the
CNN Feature maps through Integration of Channel Attention for Handwritten
Text Recognition.- XAIForCOVID-19: A comparative analysis of various
explainable AI techniques for COVID-19 diagnosis using chest x-ray
images.- Features Assimilation via Three-Stream Deep Networks for Spam
Attack Detection from Images.- A Transformer based UNet Architecture for fast
and Efficient Image Demoireing.- Auxiliary CNN for graspability modeling with
3D point clouds and images for robotic grasping.- Face Presentation Attack
Detection Using Remote Photoplethysmography Transformer Model.- MTFL:
Multi-task federated learning for classification of healthcare
X-ray images.- Speech-based Automatic Prediction of Interview
Traits.- Pneumonia Detection Using Deep Learning Based Feature Extraction
and Machine Learning.- Classification of Synthetic Aperture Radar Images
using a modified DenseNet model.- Combining Non-Local Sparse and Residual
Channel Attentions for Single Image Super-resolution Across Modalities.- An
End-to-End Fast No-Reference Video Quality Predictor with Spatiotemporal
Feature Fusion.- Low-Intensity Human Activity Recognition Framework using
Audio Data in an Outdoor Environment.- Detection of Narrow River Trails with
the Presence of Highways from Landsat 8 OLI Images.- Unsupervised Image to
Image translation for multiple retinal pathology synthesis in optical
coherence tomography scans.- Combining Deep-learned and Hand-crafted Features
for Segmentation, Classification and Counting of Colon Nuclei in H&E Stained
Histology Images.- MULTIPLE OBJECT TRACKING BASED ON TEMPORAL LOCAL
SLICE REPRESENTATION OF SUB-REGIONS.- An Ensemble Approach for Moving Vehicle
Detection and Tracking by using Ni Vision Module.- Leaf Spot Disease Severity
Measurement in Terminalia Arjuna using Optimized Superpixels.