A Survey of Semantic Image and Video Annotation Tools

Abstract

Abstract. The availability of semantically annotated image and video assets constitutes a critical prerequisite for the realisation of intelligent knowledge management services pertaining to realistic user needs. Given the extend of the challenges involved in the automatic extraction of such descriptions, manually created metadata play a significant role, further strengthened by their deployment in training and evaluation tasks related to the automatic extraction of content descriptions. The different views taken by the two main approaches towards semantic content description, namely the Semantic Web and MPEG-7, as well as the traits particular to multimedia content due to the multiplicity of information levels involved, have resulted in a variety of image and video annotation tools, adopting varying description aspects. Aiming to provide a common framework of reference and furthermore to highlight open issues, especially with respect to the coverage and the interoperability of the produced metadata, in this chapter we present an overview of the state of the art in image and video annotation tools.

A Community Information System for Ubiquitous Informal Learning Support

“…As a specific example, given an increase in the produced videos, semantic annotations can be very useful in improving the learning support and the search for data. There are many existing annotation standards and video annotation tools [8]. In our work, MPEG-7 [9] is used for storing the metadata generated from our semantic video annotation systems.…”

SeViAnno 2.0: Web-enabled collaborative semantic video annotation beyond the obvious

“…Some of these tools are under active development, some are unfortunately abandoned by the creators already. Overviews about such tools can be found in [3]. Generally speaking, they support users or groups of users with sophisticated features like event and object tagging in various forms, position tracking of specific objects in videoclips, spatiotemporal information annotation and others.…”

“…for distributing the user interface over different devices [10], for exploring near real-time collaboration in semantic video tagging, for mobile video tagging, or for different application contexts like storytelling. Even if SeViAnno is taking an outsider position in the semantic video annotation research community and is often ignored in overview papers [3] [11], it has been successfully used in research projects. The structure of the paper is as follows.…”

Uma Abordagem para Identificação de Similaridade Entre Recursos Educacionais Utilizando Bases de Conhecimento Externas

“…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).…”