In the last decade e-lecturing has become more and more popular. The amount of lecture
video data on the World Wide Web (WWW) is growing rapidly. Therefore, a more efficient …

The amount of digital material in video lecture archives is growing rapidly, causing the
search&retrieval process to be time-consuming and almost impractical. Indeed, after the …

Learning is considered one of the most important activities for the human being, and many
educational institutes are trying to improve the engagement with students through the …

Lecture videos and e-learning are upcoming effective learning resources. Getting the
appropriate lecture video out of all video archives available on the internet is not an easy …

This paper presents a benchmark dataset for aligning lecture videos with corresponding
slides and introduces a novel multimodal algorithm leveraging features from speech, text …

This paper presents a novel approach for lecture video indexing using a boosted deep
convolutional neural network system. The indexing is performed by matching high quality …

AI and ML-based smart applications will be the next best way towards essential services,
like basic education, and quality optimization. In the educational delivery context, not only …

Long lecture video metadata needs to have topic wise annotation information for quick topic
searching and video browsing. In this work we perform topical segmentation of long MOOC …

Topical Segmentation poses a great role in reducing search space of the topics taught in a
lecture video specially when the video metadata lacks topic wise segmentation information …

Now a days Lecture videos are present methods for E-learning process. The degree of
elearning video libraries on the (WWW) World Wide Web is growing very quickly. Therefore …