Learned Scalable Video Coding Optimized for Both Human Viewing and Machine Vision Tasks

This paper introduces a novel end-to-end learned scalable video codec that efficiently compresses video data for both human viewing and machine vision tasks, specifically object detection, by leveraging conditional coding and task-specific optimization.