3 accepted papers
Generic Event Boundary Detection (GEBD) [1] is a crucial task in video analysis, aiming to identify class-agnostic event boundaries. Traditional supervised or unsupervised methods for GEBD rely on expensive data annotation and time-consuming training, often leading to limited generalization across d…
It is common for modern video codecs to reach triple digit compression ratios, which clearly shows the information redundancy and low information density of the ubiquitous RGB frame video representation. We propose an approach that directly utilizes the components of a compressed video for predictin…
The self-similarity matrix (SSM) is becoming more prevalent in temporal representation understanding; it has been utilized for various video understanding tasks, such as classifying human actions, counting repetitions, and identifying generic event boundaries. Recently proposed methods for Generic E…