Video skimming, also known as dynamic video summarization, generates a temporally
abridged version of a given video. Skimming can be achieved by identifying significant …

Long-form video content constitutes a significant portion of internet traffic making automated
video summarization an essential research problem. However existing video summarization …

Extreme instance imbalance among categories and combinatorial explosion make the
recognition of Human-Object Interaction (HOI) a challenging task. Few studies have …

During the last few years, several technological advances have led to an increase in the
creation and consumption of audiovisual multimedia content. Users are overexposed to …

This study proposes a novel solution for the detection of keyframes for static video
summarization. We preprocessed the well-known video datasets by coding them using the …

The understanding of long-range pixel–pixel dependencies plays a vital role in image
segmentation. The use of a CNN plus an attention mechanism still has room for …

One key challenge in zero-shot classification (ZSC) is the exploration of knowledge hidden
in unseen classes. Generative methods such as generative adversarial networks (GANs) are …

Generic video summarization algorithms are characterized by the uniqueness of the final
video summary result, which cannot satisfy the different summary requirements of different …

Video summarization is to extract effective information from videos to quickly obtain the most
informative summary. Most of the existing video summarization methods use recurrent …

In recent years, supervised video summarization has made tremendous progress with
treating it as a sequence-to-sequence learning task. However, traditional recurrent neural …