Emerging Trends in Reducing Semantic Gap towards Multimedia Access: A Comprehensive Survey

Qazi, Aijazahamed; Goudar, R. H.

doi:10.17485/ijst/2016/v9i30/99072

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…The semantically annotated videos are related to entities, which, in turn, are part of a network of relationships with meanings, such as an ontology or a thesaurus. Thus, media annotation facilitates the search and recommendation processes in repositories and many researchers have been working on improvements in it for various media [5,36].…”

Section: Concepts and Techniquesmentioning

confidence: 99%

Framework for Knowledge Discovery in Educational Video Repositories

Gomes

Dias

Soares

et al. 2019

cai

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The ease of creating digital content coupled with technological advancements allows institutions and organizations to further embrace distance learning. Teaching materials also receive attention, because it is difficult for the student to obtain adequate didactic material, being necessary a high effort and knowledge about the material and the repository. This work presents a framework that enables the automatic metadata generation for materials available in educational video repositories. Each module of the framework works autonomously and can be used in isolation, complemented by another technique or replaced by a more appropriate approach to the field of use, such as repositories with other types of media or other content.

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Section: Concepts and Techniquesmentioning

confidence: 99%

Framework for Knowledge Discovery in Educational Video Repositories

Gomes

Dias

Soares

et al. 2019

cai

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“…Automatic approaches usually process the text and associate semantic annotation tags using knowledge bases as DBpedia or Freebase [15,16]. Media annotation facilitates the search process in repositories, and many researchers have been working on improvements in this process for various media [17,18].…”

Section: Introductionmentioning

confidence: 99%

The impact of semantic annotation techniques on content-based video lecture recommendation

Dias

Barrére

Souza

2020

Journal of Information Science

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Increasing videos available in educational content repositories makes searching difficult, and recommendation systems have been used to help students and teachers receive a content of interest. Speech is an important carrier of information in video lectures and is used by content-based video recommendation systems. Although automatic speech recognition (ASR) transcripts have been used in modern video recommendation systems, it is not clear how annotation techniques work with noisy text. This article presents an analysis on a set of semantic annotation techniques when applied to text extracted from video lecture speech and their impact on two tasks: annotation and similarity analysis. Experiments show that topic models have good results in this scenario. Besides, a new benchmark for this task has been created and researchers can use it to evaluate new techniques.

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“…Mídias anotadas facilitam o processo de busca em repositórios e muitos pesquisadores tem trabalhado em melhorias no processo de anotação para diversas mídias (Dasiopoulou, Giannakidou, Litos, Malasioti, & Kompatsiaris, 2011;Qazi & Goudar, 2016).…”

Section: Introductionunclassified