Summarization is the method of extracting valuable information or a summary out of a
significant amount of data using a variety of computation techniques. The summarization …

Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …

Video summarization (VS) technology presents a multi-tendency development. However,
there are still certain challenges in shortening a long video into several diverse and concise …

Few-shot classification (FSC) requires training models using a few (typically one to five) data
points per class. Meta-learning has proven to be able to learn a parametrized model for FSC …

The fast progress in digital technology has sparked the generation of the amount of
voluminous data from different social media platforms like Instagram, Facebook, YouTube …

Deep Models are increasingly becoming prevalent in summarization problems (eg
document, video and images) due to their ability to learn complex feature interactions and …

Creating a trailer requires carefully picking out and piecing together brief enticing moments
out of a longer video, making it a challenging and time-consuming task. This requires …

Rapid advancements in video technology, as well as the widespread availability of video
capturing equipment, generate large amounts of data that must be managed efficiently in …

The digital camera is essential to many modern activities includes event planning,
entertainment, and security surveillance administration, news, sports, instruction …

Technological developments in comprehensive video understanding-detecting and
identifying visual elements of a scene, combined with audio understanding (music, speech) …