Video Summarization is a technique to reduce the original raw video into a short video
summary. Video summarization automates the task of acquiring key frames/segments from …

Emotion recognition in real-time using electroencephalography (EEG) signals play a key
role in human-computer interaction and affective computing. The existing emotion …

Emotion recognition has increased the potential of affective computing by getting an instant
feedback from users and thereby, have a better understanding of their behavior …

Human emotions are subjective reactions to objects or events that are related to diverse
physiological, behavioral and intellectual changes. The research community is gaining more …

Traditionally, emotion recognition is performed in response to stimuli that engage either one
(vision: image or hearing: audio) or two (vision and hearing: video) human senses. An …

In recent years, the scientific and technological developments have led to an explosion of
available videos on the web, increasing the necessity of fast and effective video analysis …

Video summarization is the process of selecting a subset of informative keyframes to
expedite storytelling with limited loss of information. In this article, we propose an EEG-Video …

Affective computing is an important research area for developing an emotion recognition
system. In such systems, stimuli for emotion elicitation are standard dynamic range (SDR) …

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 …

Electroencephalography (EEG) signals are always accompanied by endogenous and
exogenous artifacts. Research carried out in the past few years focused on EEG artifact …