LOGO: A Long-Form Video Dataset for Group Action Quality Assessment

Figure 1. An overview of the LOGO dataset. LOGO is a multi-person long-form video dataset with frame-wise annotations on both action procedures (as shown in the second line) and formations (as shown in the third line, which reflects relations among actors) based on artistic swimming scenarios. It provides a potential for constructing an action quality assessment approach with the ability of modeling group information among actors. Longer video durations also challenge the ability of the method to aggregate long-term temporal information.