Development and benchmarking of HTTP-based multivision video server using fast stream joiner

Kasai, Hiroyuki

doi:10.1109/tce.2013.6531116

Cited by 2 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As for utilization, server based implementation is flexible and provides an online service access to user, serving as cloud computing mode to offer the service to users (e.g. [50]). Users just need to access the network and run some specific terminal software to support fundamental communication with the server, the vision based task can be completed online by server.…”

Section: Computing Corementioning

confidence: 99%

Extensions of principle component analysis with applications on vision based computing

Liu¹,

Kavakli²

2015

Multimed Tools Appl

View full text Add to dashboard Cite

This paper mainly focuses on the principle component analysis (PCA) and its applications on vision based computing. The underlying mechanism of PCA given and several significant factors, involved with subspace training are discussed theoretically in detail including principle components energy, residuals assessment, and decomposition computation. The typical extensions, including probabilistic PCA (PPCA), kernel PCA (KPCA), multi-dimensional PCA and robust PCA (RPCA), have been presented with critical analysis on both mechanisms and computations. Combining with the studies on, such as, image compression, visual tracking, image recognition and super-resolution image reconstruction, PCA and its extensions applied to computer vision are critically reviewed and evaluated on the targeted issues in each application as well as the role they played at specific tasks to the characteristics, cost and suitable situations of each PCA based vision processing technique.

show abstract

Section: Computing Corementioning

confidence: 99%