Computer Vision and Image Processing, Kartoniert / Broschiert
Computer Vision and Image Processing
- 9th International Conference, CVIP 2024, Chennai, India, December 19-21, 2024, Revised Selected Papers, Part IV
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Jagadeesh Kakarla, R. Balasubramanian, Subrahmanyam Murala, Santosh Kumar Vipparthi, Deep Gupta
- Verlag:
- Springer, 07/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031936968
- Artikelnummer:
- 12380188
- Umfang:
- 496 Seiten
- Gewicht:
- 744 g
- Maße:
- 235 x 155 mm
- Stärke:
- 27 mm
- Erscheinungstermin:
- 24.7.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Computer Vision and Image Processing |
Preis |
---|---|
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Buch, Kartoniert / Broschiert, Englisch | EUR 98,56* |
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Klappentext
.- Analysis of Chromatic Response of EEG Signals Induced for Primary Color Visualization. .- ReConfNET: Confidence-Driven Hierarchical Indoor Scene Reconstruction. .- On Tree Mango Fruit Yield Estimation using Graph Cuts and Depth First Search. .- Leveraging GANs for Chest X-ray Image Synthesis. .- Early Violence Recognition using Knowledge Distillation. .- MiXceptionLeaf: A Novel Model for Cassava Leaf Disease Classification Using XceptionNet and ConvMixer Layer. .- Optimizing Image Captioning using BLIP Framework with Advanced Processing of DWT LL Band-Compressed Images. .- Robust Denoising in Fringe Projection Profilometry: A Poissonian-Gaussian Approachwith Lightweight Neural Networks. .- A retinex driven fractional-order regularization model for despeckling and enhancing of Synthetic Aperture Radar images. .- Customized Self-Configuring U-Net Framework for Anatomical Lesion Segmentation in Post-Stroke Brain MRI. .- Plant Leaf Diseases classification using Knowledge Distillation Methodologies. .- TDIUC-AVQA: A Visual Question Answering Dataset in Low-Resource Assamese Language. .- Joint compression of multi-model systems for edge devices. .- VLRASN-112: A Visual Lip Reading Dataset for Assamese Compound Numeric Sequence Recognition. .- Multimodal Deep Learning Framework for Skin Lesion Classification. .- Enhancing Diagnostic Precision: AI-Based Differentiation of Brain Tumors and Multiple Sclerosis. .- CubeMin: Fingerprint Indexing Scheme using Pairwise Minutia Feature in Cubic Space. .- Unconstrained Low-Resolution Face Recognition using Attention Network and Resolution Aware Images. .- An Instance-Aware Attention Vision Transformer for Glaucoma Detection using Retinal Fundus Image Analysis. .- Improved Image data augmentation using Dynamic Mode Decomposition. .- Assessment of the Impact of D-Adaptation on Convolutional Image Classification. .- An Efficient Hybrid Feature Selection Approach for Offline Handwritten Mathematical Symbol Recognition. .- Single Image Super-Resolution: Use of Transformer with Multiple Attention modules. .- MSPlantNet: Plant Disease Classification using Few Shot Learning. .- PATROL'S PAL: Anomaly Face Recognition from Low-Quality CCTV Footage. .- Skeleton-Based Action Recognition - Dual Stream Learning of Discriminative Representations. .- Leveraging Biogeography-based Optimization for Band Selection in Hyperspectral Brain Imaging: a CNN-based Classification Framework. .- RWAEFA: Random Walk-based Artificial Electric Field Optimization Algorithm - An Application towards Feature Selection for Cytology Image Classification. .- Super-resolution Enhanced Tree Classification in Satellite Images Using Convolutional Neural Networks. .- Prediction of Short-Term Traffic Flow Using a Hybrid Architecture. .- Enhanced Semantic-Driven Anomaly Detection: A Multi-Class Strategy for Video Data. .- Activity Recognition in Smart Homes with Knowledge Graph and Attention-Guided Learning.
