Artículo

Feature-based fast coding unit partition algorithm for high efficiency video coding

Lin, Yih Chuan; Lai, Jian Cheng

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology ( (Revistas UNAM)

Licencia de uso

La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx. Ver términos de la licencia

Procedencia del contenido

Cita

Lin, Yih Chuan, et al. (2015). Feature-based fast coding unit partition algorithm for high efficiency video coding. Journal of Applied Research and Technology; Vol. 13 Núm. 2. Recuperado de https://repositorio.unam.mx/contenidos/45798

Descripción del recurso

Autor(es)
Lin, Yih Chuan; Lai, Jian Cheng
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Feature-based fast coding unit partition algorithm for high efficiency video coding
Fecha
2015-04-01
Resumen
High Efficiency Video Coding (HEVC), which is the newest video coding standard, has been developed for the efficient compression of ultra high definition videos. One of the important features in HEVC is the adoption of a quad-tree based video coding structure, in which each incoming frame is represented as a set of non-overlapped coding tree blocks (CTB) by variable-block sized prediction and coding process. To do this, each CTB needs to be recursively partitioned into coding unit (CU), predict unit (PU) and transform unit (TU) during the coding process, leading to a huge computational load in the coding of each video frame. This paper proposes to extract visual features in a CTB and uses them to simplify the coding procedure by reducing the depth of quad-tree partition for each CTB in HEVC intra coding mode. A measure for the edge strength in a CTB, which is defined with simple Sobel edge detection, is used to constrain the possible maximum depth of quad-tree partition of the CTB. With the constrained partition depth, the proposed method can reduce a lot of encoding time. Experimental results by HM10.1 show that the average time-savings is about 13.4% under the increase of encoded BD-Rate by only 0.02%, which is a less performance degradation in comparison to other similar methods. All Rights Reserved © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico. This is an open access item distributed under the Creative Commons CC License BY-NC-ND 4.0.
Tema
Hevc; Ctb; Coding Unit; Sobel Edge; Feature-based Approach; Fast Algorithm; Quad-tree Partition
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423
DOI
https://doi.org/10.1016/j.jart.2015.06.019

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