Highlight detection
WebJan 13, 2024 · Specular highlight detection and removal is a fundamental problem in computer vision and image processing. In this paper, we present an efficient end-to-end deep learning model for automatically ...
Highlight detection
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WebSep 10, 2024 · 12:48 PM PDT • March 16, 2024. Course Hero, a tutoring business last valued by investors at $3.6 billion, has cut 15% of staff, or 42 people — its first round of layoffs in … WebHighlight detection and labeling without lag-calibration may cause inaccurate results. Second, time-sync comments are sparse semantically, both in number of comments per shot and number of tokens per comment. Traditionally bag-of-words statistical model may work poorly on such data. Third, there is much uncertainty in highlight ...
WebJun 24, 2024 · Abstract: Video highlight detection can greatly simplify video browsing, potentially paving the way for a wide range of ap-plications. Existing efforts are mostly fully-supervised, requiring humans to manually identify and label the interesting moments (called highlights) in a video. WebMar 26, 2024 · Movie highlights stand out of the screenplay for efficient browsing and play a crucial role on social media platforms. Based on existing efforts, this work has two observations: (1) For different annotators, labeling highlight has uncertainty, which leads to inaccurate and time-consuming annotations.
WebUnlike generic highlight detection methods [41,13,40], we focus on personalized video highlight detection, where the user’s previously created historical highlight video seg-ments are used as guidance to detect the interesting mo-ments. To the best of our knowledge, only two methods are proposed to solve this problem. Molino and Gygli [7] Weblight detection.Experimental results demonstrate that our model outperforms competing approaches by a significant margin. •We introduce an attention-gated instance …
WebMar 29, 2024 · Highlight detection algorithms can be classified into various categories on the basis of data being used for input. For color images, we propose two major categories, namely the single-image and multi-images based techniques, presented in Sects. 2 and 3, respectively.Furthermore, a relatively recent development in imaging technology is …
WebMay 19, 2024 · With the growing popularity of eSports, video highlight detection, which encapsulates the most informative parts in a few seconds, has become a critical part of live competition. However, learning the spatial–temporal dependency efficiently and discriminatively in video highlight detection for league of legends (LoL) is a critical … poly perg schülerWebOct 29, 2009 · The proposed approach was evaluated on soccer and tennis videos, though our technique has no restriction on the sports' type. It is shown that audio-based … poly performance ball joints jkWeband goalpost detection together to detect soccer highlights. On the other hand, Chang et al. [6] primarily used audio analysis as an alternative tool for sports parsing. Their goal was to detect football touchdowns. Vision-based line-mark and goal-posts detection were then used to verify the results obtained from audio analysis. shanna moakler miss usa picturesWebVideo highlight detection can greatly simplify video browsing, potentially paving the way for a wide range of applications. Existing efforts are mostly fully-supervised, requiring … poly perc solar panelsWebJul 19, 2024 · Different users may have different preferences of highlight for the same input video. In this paper, we propose a simple yet effective framework that learns to adapt … poly performance limit strapsWeb1 day ago · The case study highlights how the ExoVita Pancreas test (available as a laboratory developed test) can be used as part of a diagnostic workup to aid earlier … shanna moakler net worth 2020WebOct 17, 2024 · Abstract: In video highlight detection, the goal is to identify the interesting moments within an unedited video. Although the audio component of the video provides … poly performance nitrogen kit