Multimodal Video Summarization Using Machine Learning: A Comprehensive Benchmark of Feature Selection and Classifier Performance

The exponential growth of user-generated video content necessitates efficient summarization systems for improved accessibility, retrieval, and analysis. This study presents and benchmarks a multimodal video summarization framework that classifies segments as informative or non-informative using audi...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Elmin Marevac, Esad Kadušić, Nataša Živić, Nevzudin Buzađija, Edin Tabak, Safet Velić
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-09-01
Colecção:	Algorithms
Assuntos:	video summarization multimodal features machine learning random forest feature fusion hyperparameter optimization
Acesso em linha:	https://www.mdpi.com/1999-4893/18/9/572
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!