The proliferation of social networking platforms such as YouTube, Facebook, Instagram, and
X has led to an exponential growth in multimedia content, with billions of videos uploaded …

Dynamic hand gesture recognition is a fundamental domain in Human–Computer
Interaction, wherein machine learning and deep learning models are widely employed. Key …

This paper presents a comprehensive dataset comprising annotations generated by the
Google Vision API for approximately 105,000 frames extracted from 15 Alfred Hitchcock …

Abstraction is a strategy that gives the essential points of a document in a short period of
time. The video abstraction approach proposed in this research is based on multi-modal …

Human action recognition from videos requires a sequence of frames to be analyzed
involving high processing power and time. Moreover, subsequent frames in a video contain …

Traditional summary generation approaches are limited by their reliance on isolated sources
of data, restraining the quantity and quality of information gathered. This introduces the …

Shot boundary detection is the fundamental technique that plays an important role in a
variety of video processing tasks such as summarization, retrieval, object tracking, and so …

The number of photos, especially group photos in live mode, has increased tremendously in
today's world. Selecting a representative image in a live photo that preserves the aesthetic …

This paper investigates the impact of keyframe extraction algorithms on the accuracy of the
action detection model. The work aims to improve the efficiency of crime detection systems …

Action spotting is a key component in high-level video understanding. The large number of
similar frames poses a challenge for recognizing actions in videos. In this paper we use …