Textual summaries of audiovisual document using AI for television new department
DOI:
https://doi.org/10.5007/1518-2924.2025.e102085Keywords:
Documentary summary, Audiovisual documentation, Television information, Process automation, Access to information, Artificial intelligenceAbstract
Objective: to analyze the documentary possibilities of automatic summary making by means of algorithmic developments of Artificial Intelligence for the automation of the extraction of textual summaries of audiovisual television documentaries in the framework of audiovisual information management in Media/Digital Asset Management.
Method: After a search for information in databases on documentary summaries, Artificial Intelligence and its development in the preparation of summaries, and a search for the main organizations that develop AI algorithms, an evaluation and selection of them is carried out by means of an exhaustive bibliographic review.
Result: AI tools and the value that the integration of such automation can have in document management in television stations, facilitating access to content in a faster and more agile way, both for documentation professionals and journalists of the channel.
Conclusions: there are tools for the generation of textual summaries of audiovisual documents; however, algorithms are still being developed to improve the processing in order to optimize results.
Downloads
References
AI4MEDIA. (2023). The AI4Media project. Disponible en: https://www.ai4media.eu
AMADOR HIDALGO, L. (1996). Inteligencia artificial y sistemas expertos. Universidad de Córdoba. Disponible en: https://helvia.uco.es/handle/10396/6938
ARSTRONG, M. (2016). The future of A.I. Statista. Disponible en: https://www.statista.com/chart/6810/the-future-of-ai
BARRERA ARRESTEGUI, L. (2012). Fundamentos históricos y filosóficos de la inteligencia artificial. UCV-HACER. Revista de Investigación y Cultura, 1 (1), 87-92. Disponible eN: https://www.redalyc.org/pdf/5217/521752338014.pdf
BAZÁN-GIL, V. (2023). Artificial intelligence applications in media archives. El Profesional de la Información, 31(5), e320517. Disponible en: https://doi.org/10.3145/epi.2023.sep.17 DOI: https://doi.org/10.3145/epi.2023.sep.17
BORKO, H. (1968). Information science: What is it?. American Documentation, 19(1), 3-5. Disponible en: https://doi.org/10.1002/asi.5090190103 DOI: https://doi.org/10.1002/asi.5090190103
BRENNEN, J. S., HOWARD, P. N., & NIELSEN, R. K. (2022). What to expect when you’re expecting robots: Futures, expectations, and pseudo-artificial general intelligence in UK news. Journalism, 23(1), 22-38. Disponible en: https://doi.org/10.1177/1464884920947535 DOI: https://doi.org/10.1177/1464884920947535
BRUCCOLERI, A., IACOVIELLO, R., MESSINA, A., METTA, S., MONTAGNUELO, M., & NEGRO, F. (2022). AI in vision: High quality video production & content automation. RAI. Centre for Research, Technological Innovation and Experimentation. Disponible en: https://www.ai4media.eu/whitepapers/ai-in-vision-high-quality-video-production-content-automation
CALVO-RUBIO, L.M., & UFARTE-RUIZRuiz, M.J. (2021). Artificial intelligence and journalism: Systematic review of scientific production in Web of Science and Scopus (2008-2019). Communication & Society, 34(2), 159-176. Disponible en: https://hdl.handle.net/10171/62242 DOI: https://doi.org/10.15581/003.34.2.159-176
CALDERA-SERRANO, J; FREIRE-ANDINO, R.O. (2016). Los metadatos asociados a la información audiovisual televisiva por agentes externos al servicio de documentación: validez, uso y posibilidades. Biblios, 62, 63-75. Disponible en: https://www.redalyc.org/pdf/161/16144742005.pdf DOI: https://doi.org/10.5195/biblios.2016.285
CANAVILHAS, J. (2022). Inteligencia artificial aplicada al periodismo: estudio de caso del proyeco “A European Perspective” (UER). Revista Latina de Comunicación Social, 80, 1-3. Disponible en: https://doi.org/10.4185/RLCS-2022-1534 DOI: https://doi.org/10.4185/RLCS-2022-1534
CRAWFORD, K. (2021). The atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. DOI: https://doi.org/10.12987/9780300252392
DEVLIN, J., CHANG, M. W., LEE, K., & TOUTONOVA, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (4171-4186).
DIAKOPOULOS, N. (2019). Automating the news: How algorithms are rewriting the media. Harvard University Press. Disponible en: https://doi.org/10.4159/9780674239302 DOI: https://doi.org/10.4159/9780674239302
GAMBHIR, M., & GUPTA, V. (2017). Recent automatic text summarization techniques: A survey. Artificial Intelligence Review, 47(1), 1-66. Disponible en: https://doi.org/10.1007/s10462-016-9475-9 DOI: https://doi.org/10.1007/s10462-016-9475-9
GILLETA, M., GIORDANO, A., MERCAÚ, N., ORDEN, P., & VILLARREAL, V. (2020). Inteligencia artificial: Definiciones en disputa. Sociales Investiga, 9, 20-33. Disponible en: https://socialesinvestiga.unvm.edu.ar/ojs/index.php/socialesinvestiga/article/view/320
INTELIGENCIA ARTIFICIAL (2014). Iniciativa Latinoamericana de Libros de Texto Abiertos (LATIn). Disponible en: https://rephip.unr.edu.ar/server/api/core/bitstreams/bb5e5b0c-01b6-482c-a3a4-a469f994c92b/content
LANCASTER, F. W. (2003). Indexing and abstracting in theory and practice. Facet Publishing.
LIU, Y., OTT, M., GOYAL, N., DU, J., JOSHI, M., CHEN, D., LEVE, O., LEWIS, M., ZETTLEMOYER, L. & STOYANOV, V. (2021). RoBERTa: A robustly optimized BERT pretraining approach. arXiv preprint arXiv:1907.11692. Disponible en: https://arxiv.org/abs/1907.11692
MISKOFF, H. C. (1988). A fondo: Inteligencia artificial. Anaya Multimedia.
UNESCO (2023). Inteligencia artificial en la educación. UNESCO. Disponible en: https://www.unesco.org/es/digital-education/artificial-intelligence
PARK, D. S., CHAN, W., ZHANG, Y., CHIU, C. C., ZOPH, B., CUBUK, E. D., & LE, Q. V. (2019). SpecAugment: A simple data augmentation method for automatic speech recognition. arXiv: 1904.08779. Disponible en: https://doi.org/10.48550/arXiv.1904.08779 DOI: https://doi.org/10.21437/Interspeech.2019-2680
PIHLAJARINNE, T., & ALÉN-SAVIKKO, A. (Eds.). (2022). Artificial intelligence and the media: Reconsidering rights and responsibilities. Edward Elgar Publishing. Disponible e: https://www.elgaronline.com/view/edcoll/9781839109966/9781839109966.xml DOI: https://doi.org/10.4337/9781839109973
PORIA, S., CAMBRIA, E., HAZARIKA, D., & KWOK, K. (2017). A review of affective computing: From unimodal analysis to multimodal fusion. Information Fusion, 37, 98-125. Disponible en: https://www.researchgate.net/publication/313322315_A_Review_of_Affective_Computing_From_Unimodal_Analysis_to_Multimodal_Fusion DOI: https://doi.org/10.1016/j.inffus.2017.02.003
ROJAS-TORRIJOS, J.-L. (2021). Semi-automated journalism: Reinforcing ethics to make the most of artificial intelligence for writing news. In M. Luengo & S. Herrera-Damas (Eds.), News media innovation reconsidered: Ethics and values in a creative reconstruction of journalism (pp. 124-137). Wiley-Blackwell. Disponible en: https://doi.org/10.1002/9781119706519.ch8 DOI: https://doi.org/10.1002/9781119706519.ch8
ROUHIAINEN, L. (2018). Inteligencia artificial: 101 cosas que debes saber hoy sobre nuestro futuro. Planeta.
ROWLEY, J., & FARROW, J. (2017). Organizing knowledge: An introduction to managing access to information. Routledge. DOI: https://doi.org/10.4324/9781315247519
SÁNCHEZ-GARCÍA, P., MERAYO-ÁLVAREZ, N., CALVO-BARBERO, C., & DÍEZ-GRACIA, A. (2023). Desarrollo tecnológico español de la inteligencia artificial aplicada al periodismo: Empresas y herramientas de documentación, producción y distribución de información. El Profesional de la Información, 32(2), e320208. Disponible en: https://doi.org/10.3145/epi.2023.mar.08 DOI: https://doi.org/10.3145/epi.2023.mar.08
SIMONYAN, K., & ZISSERMAN, A. (2015). Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556. Disponible en: https://doi.org/10.48550/arXiv.1409.1556
SMITH, R. (2007). An overview of the Tesseract OCR engine. In Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on (Vol. 2, pp. 629-633). IEEE. Disponible en: 10.1109/ICDAR.2007.4376991 DOI: https://doi.org/10.1109/ICDAR.2007.4376991
TÚÑEZ-LÓPEZ, J.M., FIERAS-CEIDE, C., & VAZ-ÁLVAREZ, M. (2021). Impact of artificial intelligence on journalism: Transformations in the company, products, contents and professional profile. Communication & Society, 34(1), 177-193. Disponible en: https://doi.org/10.15581/003.34.1.177-193 DOI: https://doi.org/10.15581/003.34.1.177-193
VENTURA-POCINO, P. (2021). Algorithms in the newsrooms: Challenges and recommendations for artificial intelligence with the ethical values of journalism. Catalan Press Council.
YEUNG, S., RASTEGARI, M., STARK, M., & DARRELL, T. (2016). End-to-end learning of action detection from frame glimpses in videos. Disponible en: http://vision.stanford.edu/pdf/yeung2016cvpr.pdf DOI: https://doi.org/10.1109/CVPR.2016.293
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Jorge Caldera Serrano

This work is licensed under a Creative Commons Attribution 4.0 International License.
The author must guarantee that:
- there is full consensus among all the coauthors in approving the final version of the document and its submission for publication.
- the work is original, and when the work and/or words from other people were used, they were properly acknowledged.
Plagiarism in all of its forms constitutes an unethical publication behavior and is unacceptable. Encontros Bibli has the right to use software or any other method of plagiarism detection.
All manuscripts submitted to Encontros Bibli go through plagiarism and self-plagiarism identification. Plagiarism identified during the evaluation process will result in the filing of the submission. In case plagiarism is identified in a manuscript published in the journal, the Editor-in-Chief will conduct a preliminary investigation and, if necessary, will make a retraction.
This journal, following the recommendations of the Open Source movement, provides full open access to its content. By doing this, the authors keep all of their rights allowing Encontros Bibli to publish and make its articles available to the whole community.
Encontros Bibli content is licensed under a Creative Commons Attribution 4.0 International License.
Any user has the right to:
- Share - copy, download, print or redistribute the material in any medium or format.
- Adapt - remix, transform and build upon the material for any purpose, even commercially.
According to the following terms:
- Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything that the license permits.

















