This paper details our Visual Keyword Spotting system used in the first Mandarin Audio-Visual Speech Recognition Challenge (MAVSR 2019).
Our method is based on the idea of using sliding windows to bridge be- tween the word-level dataset and the sentence-level dataset, showing that a strong word ...
Oct 30, 2019 · Visual Keyword Spotting (KWS), as a newly proposed task deriving from visual speech recognition, has plenty of room for improvements.
Our method is based on the idea of using sliding windows to bridge between the word-level dataset and the sentence-level dataset, showing that a strong word ...
Bibliographic details on Spotting Visual Keywords from Temporal Sliding Windows.
Spotting Visual Keywords from Temporal Sliding Windows - ICMI '19. Conference Logo. ICMI 2019. 21st ACM International Conference on Multimodal Interaction.
Sep 19, 2023 · This study proposes a spatio-temporal spotting network with sliding windows for spotting macro- and micro-expression in long videos. By ...
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Abstract. In this paper we propose a segmentation-free approach to word spotting. Word images are first encoded into feature vectors us- ing Fisher Vector.
Missing: Temporal | Show results with:Temporal
Here, we briefly review some of the influential works in the realm of temporal action localization. Early methods have relied on the sliding-window-plus- ...
Sep 2, 2020 · Yao et al. [44] use sliding windows to split sentence-level videos into smaller segments on which they perform word-level classification and ...