An Empirical Taxonomy of Video Summarization Model From a Statistical Perspective
This paper has thrown out a comprehensive taxonomic view of all different video summarization techniques that show variously adopted methodologies efficiently condensing large video data. The review categorizes and evaluates techniques against their core approaches: clustering-based methods, deep le...
Saved in:
| Main Authors: | Sai Babu Veesam, Aravapalli Rama Satish |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10758658/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EDGE-BASED VIDEO RECOGNITION: ADVANCING DEEP LEARNING FOR EFFICIENT VISUAL
by: Sai Babu Veesam, et al.
Published: (2025-03-01) -
Perspective-Based Microblog Summarization
by: Chih-Yuan Li, et al.
Published: (2025-04-01) -
A Review of Arabic Text Summarization: Methods, Datasets, and Evaluation Metrics, With a Proposed Solution
by: Zeyad Ezzat, et al.
Published: (2025-01-01) -
Multiple View Summarization Framework for Social Media
by: Chih-yuan Li, et al.
Published: (2023-05-01) -
Integrate the Temporal Scheme for Unsupervised Video Summarization via Attention Mechanism
by: Vo Quoc Bang, et al.
Published: (2025-01-01)