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Mobile Computing IEEE Projects 2020-2021 Chennai
Academic Year
2020 – 2021
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With Mobile Computing being a cornerstone of modern technology, our team of experienced professionals is committed to staying ahead of the curve. Our projects for the year 2020-2021 are designed to tackle real-world challenges and leverage the latest advancements. Whether you are a student looking for hands-on experience or a researcher seeking collaboration, 1 Crore Project Centre Chennai is your trusted partner in Mobile Computing.
Join us on a journey of discovery and innovation in Mobile Computing for 2020-2021. Our center offers a diverse range of projects and resources to help you excel in this exciting field. Connect with us today to explore how our expertise and dedication can empower your Mobile Computing aspirations. Let’s shape the future together!
Image Processing
23 project titles
- Fusion Similarity-Based Re-ranking for SAR Image Retrieval
- Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
- Semi-supervised Online Multi-kernel Similarity Learning for Image Retrieval
- Learning Short Binary Codes for Large-scale Image Retrieval
- Retrieval Compensated Group Structured Sparsity for Image Super-Resolution
- Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval
- Image Piece Learning for Weakly Supervised Semantic Segmentation
- Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation
- Disjunctive Normal Parametric Level Set With Application to Image Segmentation
- Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
- Segmentation-Based Fine Registration of Very High Resolution Multi-temporal Images
- Fast Multi region Image Segmentation Using Statistical Active Contours
- Unsupervised Multi-Class Co-Segmentation via Joint-Cut Over L1 -Manifold Hyper-Graph of Discriminative Image Regions
- Residual De-Convolutional Networks for Brain Electron Microscopy Image Segmentation
- Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
- Integrated Localization and Recognition for Inshore Ships in Large Scene Remote Sensing Images
- Airplane Recognition in Terra SAR-X Images via Scatter Cluster Extraction and Reweighted Sparse Representation
- Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
- Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image
- Turning Diffusion-Based Image Colorization Into Efficient Color Compression
- Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
- Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
- Region-of-Interest Coding Based on Saliency Detection and Directional Wavelet for Remote Sensing Images