Towards a high definition experience using a high-quality 3D video format convertor

Bellers, Erwin B.; Ojo, A.; Caussyn, Jan; Beekers, E.

doi:10.1109/icce.2003.1218782

Cited by 1 publication

(1 citation statement)

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“…Chen presents scene simulation platform based on data fusion of multiple format 3D models [4]. Bellers proposes towards a high definition experience using a high-quality 3D video format convertor [5]. Bruls introduces stereoscopic (3D) Video of formats and compression standards [6].…”

Section: Introductionmentioning

confidence: 99%

Three Dimensional Vision Conversion Based on Cloud Computing

Fan

Chiang

Lee

2013

AMM

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In this paper, we propose a three dimensional vision conversion based on cloud computing. Three dimensional video and image system become an important technology in consumer electronics field in latest decade. There are numerous three dimensional video and image formats for different 3D products. However, the three dimensional vision contents that are manufactured by different standards are difficult to exchange without complete three dimensional vision converters. Therefore, how to perform the three dimensional vision format converters to interchange different kinds of three dimension vision becomes an important research topic in academic and industry. Nevertheless, three dimensional vision processor and converter have high computing complexity. It is hard to perform whole three dimensional vision converter according to all kinds of international standards in client machine and portable device. At the same time, three dimensional visions often require a large number of storage spaces. It is also very difficult to record all kinds of three dimensional visions in local device. The above problem should be solved adopting different concepts. Therefore, we proposed cloud computing concept that establishes a complete three dimensional vision converter in cloud computing server and storage space in three dimensional vision clouds. The customer access the three dimensional vision rely on three dimensional vision cloud. The approach methodology solves the problems of computing complexity and storage space of tradition three dimensional vision converters and storage. The presented intact framework of three dimensional vision converters also provides a solution of related research in this paper.

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Section: Introductionmentioning

confidence: 99%