CRCV | Center for Research in Computer Vision Research Experiment for Undergraduate Spotlight Improving Concept Detection by Utilizing Temporal Relationships Mentor: Khurram Soomro REU: Levi Smith

CRCV | Center for Research in Computer Vision Research Experiment for Undergraduate Spotlight Overview We aim to use the temporal relationships between concepts, to improve concept detection over a temporal period Rather than looking at a single concept in isolation, we want to take advantage of what we define as the causality between two concepts We want to improve concept detection in general and have applied our methods to two datasets: TRECVID and a self-annotated soccer dataset Improving Concept Detection by Utilizing Temporal Relationships – Levi Smith t t

CRCV | Center for Research in Computer Vision Research Experiment for Undergraduate Spotlight In complex events, these temporal relationships exist and can be easily seen in the case of soccer There is often confusion in the classifier probabilities, which we want to correct We can use this causal information to give more confidence to the most probable concept that will occur next in a sequence CornerNo Concept Goal CelebrationAttempt 12 Second Interval Causality Improving Concept Detection by Utilizing Temporal Relationships – Levi Smith