Trustworthy Multimedia Analysis

This tutorial discusses the trustworthiness issue in multimedia analysis. Starting from introducing two types of spurious correlations learned from distilling human knowledge, we partition the (visual) feature space along two dimensions of task-relevance and semantic-orientation. Trustworthy multimedia analysis ideally relies on the task-relevant semantic features and consists of three modules as trainer, interpreter and tester. These three modules essentially form a closed loop, which respectively address goals of extracting task-relevant features, extracting task-relevant semantic features, and detecting spurious correlations to be corrected by the trainer and interpreter.