An experimental comparative study on slide change detection in lecture videos

Eruvaram, Purushotham; Ramani, Kasarapu; Bindu, C. Shoba

doi:10.1007/s41870-018-0210-4

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A Slide Transition Detection1

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2024

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Cited by 4 publications

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“…Similarly in [2], histograms are utilized for shot boundary detection as part of a larger scheme involving shot classification, slide region detection, and slide transition detection.…”

Section: A Slide Transition Detectionmentioning

confidence: 99%

SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks

Sindel¹,

Hernandez²,

Yang³

et al. 2022

Preprint

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With the increasing number of online learning material in the web, search for specific content in lecture videos can be time consuming. Therefore, automatic slide extraction from the lecture videos can be helpful to give a brief overview of the main content and to support the students in their studies. For this task, we propose a deep learning method to detect slide transitions in lectures videos. We first process each frame of the video by a heuristic-based approach using a 2-D convolutional neural network to predict transition candidates. Then, we increase the complexity by employing two 3-D convolutional neural networks to refine the transition candidates. Evaluation results demonstrate the effectiveness of our method in finding slide transitions.

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“…Similarly in [2], histograms are utilized for shot boundary detection as part of a larger scheme involving shot classification, slide region detection, and slide transition detection.…”

Section: A Slide Transition Detectionmentioning

confidence: 99%