Event Detection in Soccer Videos through Text-based Localization and Audiovisual Analysis

Abstract

This paper presents a framework for soccer event detection through joint textual, aural and visual feature analysis. Firstly, textual cues from online sporting resources are used to significantly reduce and localize the event search space. Then, analysis is performed based on generic rule-sets imposed on specific audiovisual feature properties to isolate the most compressed view of the events. Experiments conducted on 30-hours of soccer videos from various broadcasters show encouraging results for the detection of goals, penalties, yellow cards, red cards and substitutions.