IMC 2 Lab
Video Compression & Codec for Real-Time Surveillance Streams
Adaptive Bitrate Encoding for Low-Latency Monitoring
Dr Shahryar Najam
Project Overview
An intelligent video compression pipeline for real-time surveillance, employing region-of-interest encoding and adaptive bitrate control to maintain visual fidelity on critical regions while minimizing bandwidth for background areas.
System Architecture
Inputs
Surveillance Streams
Processing Pipeline
ROI Encoding
Codec Engine
Bitrate Control
Outputs
Compressed Stream
Real-Time Playback
Related Publications (8)
Curated from publications by Dr. Shaheryar Najam
2026journal
UAV-MultiAct: A Lightweight Fusion-based Transformer for Robust Multi-Person Action Recognition in UAV Surveillance
KHI HTC 2026, 2026
View on Scholar2026journal
Transformer-Driven Multimodal for Human-Object Detection and Recognition for Intelligent Robotic Surveillance
Computers, Materials, & Continua 87 (1), 2026
View on Scholar2025conference
Drone Surveillance for Action Recognition via Mask R-CNN and Transformer learning
INMIC25, 2025
View on Scholar2026journal
Spectral-Topological Early Fusion for Hierarchical Multi-Person Activity Recognition in Sports Videos
KHI HTC 2026, 2026
View on Scholar2026journal
Toward intelligent rehabilitation: Multimodal human pose modeling with parametric meshes and graph-based temporal reasoning
Digital Health 12, 20552076261417873, 2026
View on Scholar2026conference
Vision-Based Sign Language Recognition Using MediaPipe and Silhouette-Driven Feature Extraction
2026 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2026
View on Scholar2026conference
Patient Exercise Monitoring for Telerehabilitation Using Heuristic Keypoint Estimation and LSTM
2026 International Conference on IT and Industrial Technologies (ICIT), 1-6, 2026
View on Scholar2026journal
SleepCode: A Novel Attention-Driven Multimodal Framework for Sleep Staging and Obstructive Apnea Screening
IEEE Transactions on Consumer Electronics, 2026
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