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Analysis of institutional authors

Kleinlein, RCorresponding AuthorLuna-Jimenez, CAuthorFerreiros, JAuthorFernandez-Martinez, FAuthor

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September 6, 2021
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Topic-Oriented Text Features Can Match Visual Deep Models of Video Memorability

Publicated to: Applied Sciences-Basel. 11 (16): 7406- - 2021-08-01 11(16), DOI: 10.3390/app11167406

Authors:

Kleinlein, Ricardo; Luna-Jimenez, Cristina; Arias-Cuadrado, David; Ferreiros, Javier; Fernandez-Martinez, Fernando
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Affiliations

Univ Politecn Madrid, ETSI Telecomunicac, Informat Proc & Telecommun Ctr, Avda Complutense 30, Madrid 28040, Spain - Author

Abstract

Not every visual media production is equally retained in memory. Recent studies have shown that the elements of an image, as well as their mutual semantic dependencies, provide a strong clue as to whether a video clip will be recalled on a second viewing or not. We believe that short textual descriptions encapsulate most of these relationships among the elements of a video, and thus they represent a rich yet concise source of information to tackle the problem of media memorability prediction. In this paper, we deepen the study of short captions as a means to convey in natural language the visual semantics of a video. We propose to use vector embeddings from a pretrained SBERT topic detection model with no adaptation as input features to a linear regression model, showing that, from such a representation, simpler algorithms can outperform deep visual models. Our results suggest that text descriptions expressed in natural language might be effective in embodying the visual semantics required to model video memorability.
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Keywords

BertDensenet-121Linear regressionMemoryPcaSentence-bertTopic detectionTransformerVideo memorability

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Applied Sciences-Basel due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 39/92, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Engineering, Multidisciplinary. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Engineering (Miscellaneous).

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • WoS: 5
  • Scopus: 9
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
    • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/87027/

    As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

    • Views: 157
    • Downloads: 17
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    Leadership analysis of institutional authors

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (FAUNDEZ-CARRASCO POBLACION, RICARDO) and Last Author (FERNANDEZ MARTINEZ, FERNANDO).

    the author responsible for correspondence tasks has been FAUNDEZ-CARRASCO POBLACION, RICARDO.

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    Awards linked to the item

    The work leading to these results has been supported by the Spanish Ministry of Economy, Industry and Competitiveness through the CAVIAR (MINECO, TEC2017-84593-C2-1-R) and AMIC (MINECO, TIN2017-85854-C4-4-R) projects (AEI/FEDER, UE). Ricardo Kleinlein's research was supported by the Spanish Ministry of Education (FPI grant PRE2018-083225).
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