Abstract:In this paper, we present a simple yet efficient approach for video representation, called Adversarial Video Distillation (AVD). The key idea is to represent videos by compressing them in the form of realistic images, which can be used in a variety of video-based scene analysis applications. Representing a video as a single image enables us to address the problem of video analysis by image analysis techniques. To this end, we exploit a 3D convolutional encoder-decoder network to encode the input video as an im… Show more
“…More recently, Tavakolian et al [53] also proposed to generate a single image from the video, and their method is based on adversarial learning. Qiu et al [50] proposed to learn the transformation from the video to an informative frame and applied it to the task of video recognition.…”
“…More recently, Tavakolian et al [53] also proposed to generate a single image from the video, and their method is based on adversarial learning. Qiu et al [50] proposed to learn the transformation from the video to an informative frame and applied it to the task of video recognition.…”
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