Interest Scenes Retrieval in Long Duration Videos Using Image to Text Codification

Authors

  • Edgar Abidán Padilla-Luis Benemérita Universidad Autónoma de Puebla
  • David Pinto Benemérita Universidad Autónoma de Puebla
  • Rigoberto Cerino-Jiménez Benemérita Universidad Autónoma de Puebla
  • Francisco José López-Cortés Benemérita Universidad Autónoma de Puebla
  • Alberto Esteban Reyes-Peralta Benemérita Universidad Autónoma de Puebla
  • Beatriz Beltrán Benemérita Universidad Autónoma de Puebla

DOI:

https://doi.org/10.13053/cys-28-4-5286

Keywords:

Information retrieval, scene identification, long-duration videos, image-to-text encoding

Abstract

This article presents an approach for retrieving scenes of interest in long-duration videos through image-to-text encoding. Unlike conventional approaches that often involve the use of neural networks, this method proposes a technique that avoids the use of these complex structures in order to reduce computational resource consumption. Through experiments, the feasibility and effectiveness of this technique are demonstrated, concluding that it is feasible to employ it for multimedia information retrieval, offering an efficient and economical alternative for this task.

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Published

2024-12-03

Issue

Vol. 28 No. 4 (2024): 28(4) 2024

Section

Articles of the Thematic Section

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