… of videos, dividing the frame images in the video into different classes by clustering, and finally
selecting one or more discriminative frame … feature representation of video frames in video …

… key frame selection error rate. In this paper, we propose a novel key frames selection method
… segments according to the equal time period, and then the first frame images of the videos …

… videos domain. Recent work has successfully leveraged … are trimmed video datasets, showing
that frame selection can be an … representation (visual and categorical), the choice of frame …

… We use a batch size of 1,024 randomly selected videos; each video uses up to five frames …
features or is less representative of the video reference frames. To demonstrate beneficial and …

… framework on a per-video basis to achieve efficient video recognition—-conditioned on
different input videos, we aim to select a small number of frames to produce accurate predictions (…

… the predicted frame quality score qt to the video quality Q, we … From the three databases, we
select four videos with diferent … seconds) for four videos selected from the original databases…

… drive us to adaptively select frames from videos. … video by randomly picking a representative
frame from each segment. Figure 1 exhibits a vivid example of sampling frames from a video …

… from untrimmed videos to achieve better classification … to pick out N representative frames
from an untrimmed video can be as follows: we first observe N scenes of the whole video, …

… Different from these pretext designs, we aim to learn a task-agnostic feature representation
for videos. … We choose to drop out k frames (k ∈ [4, 8, 12, 16, 24]) and show the recognition …

… Video classification from selected clips In this paper we are interested in scenarios where the
videos v … efficiently from video and that yield a very compact representation to process. The …