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Qualitative Spatio-Temporal Stream Reasoning with Unobservable Intertemporal Spatial Relations Using Landmarks

AAAI 2016 · Video › Video-language understanding · approach: Event and anomaly reasoning in video · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
increase landmark ratio from 0 to 0.9 (ablation)landmark-based intertemporal RCC-8 inference · non-landmark to non-landmark intertemporal relationspercentage fully unknown relations: 100% -> 30%Helped
add landmarks at ratio 0.1 (ablation)landmark-based inference · non-landmark intertemporal relationspercentage fully unknown relations: roughly 20%Helped
increase landmark ratio up to 0.9 (ablation)landmark-based inference · non-landmark relations not fully unknowndisjunction size: between 4 and 5 at ratio 0.9Helped
increase number of regions (20 to 200) (ablation)landmark-based inference · disjunction sizedisjunction sizeNo clear effect

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