4 accepted papers
Video moment retrieval aims to locate specific moments from a video according to the query text. This task presents two main challenges: i) aligning the query and video frames at the feature level, and ii) projecting the query-aligned frame features to the start and end boundaries of the matching in…
Artificial intelligence has achieved notable results in sign language recognition and translation. However, relatively few efforts have been made to significantly improve the quality of life for the 72 million hearing-impaired people worldwide. Sign language translation models, relying on video inpu…
Video scene detection involves assessing whether each shot and its surroundings belong to the same scene. Achieving this requires meticulously correlating multi-modal cues, e.g., visual entity and place modalities, among shots and comparing semantic changes around each shot. However, most methods tr…
We propose an efficient online video filtering method, called adaptive exponential filtering (AES) to refine pixel prediction maps. Assuming each pixel is associated with a discriminative prediction score, the proposed AES applies exponentially decreasing weights over time to smooth the prediction s…