Hierarchical Visual Content Modelling and Query based on Trees
Setyanto, Arief (University of Essex. School of Computer Science and ELectronics Engineering)

Data:	2016
Resum:	In recent years, such vast archives of video information have become available that human annotation of content is no longer feasible; automation of video content analysis is therefore highly desirable. The recognition of semantic content in images is a problem that relies on prior knowledge and learnt information and that, to date, has only been partially solved. Salient analysis, on the other hand, is statistically based and highlights regions that are distinct from their surroundings, while also being scalable and repeatable. The arrangement of salient information into hierarchical tree structures in the spatial and temporal domains forms an important step to bridge the semantic salient gap. Salient regions are identified using region analysis, rank ordered and documented in a tree for further analysis. A structure of this kind contains all the information in the original video and forms an intermediary between video processing and video understanding, transforming video analysis to a syntactic database analysis problem. This contribution demonstrates the formulation of spatio-temporal salient trees the syntax to index them, and provides an interface for higher level cognition in machine vision.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Altres ; recerca ; Versió publicada
Matèria:	Video Analysis ; Image and Video Processing ; Separation and Segmentation
Publicat a:	ELCVIA. Electronic letters on computer vision and image analysis, Vol. 15 Núm. 2 (2016) , p. 40-42, ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v15-n2-setyanto
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/314862
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/v15-n2-setyanto
Adreça original: https://elcvia.cvc.uab.cat/article/view/v15-n2-setyanto
DOI: 10.5565/rev/elcvia.952

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