A depth video processing algorithm for high encoding and rendering performance

2014 ◽  
Author(s):  
Mingsong Guo ◽  
Fen Chen ◽  
Chengkai Sheng ◽  
Zongju Peng ◽  
Gangyi Jiang
Keyword(s):  
Video Processing ◽  
Processing Algorithm ◽  
Depth Video Processing ◽  
Depth Video

A depth video processing algorithm based on cluster dependent and corner-ware filtering

2016 ◽  
Vol 215 ◽  
pp. 90-99
Author(s):  
Zongju Peng ◽  
Mingsong Guo ◽  
Fen Chen ◽  
Gangyi Jiang ◽  
Mei Yu ◽  
...  
Keyword(s):  
Video Processing ◽  
Processing Algorithm ◽  
Depth Video Processing ◽  
Depth Video

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

Encoding oriented depth video spatial processing algorithm

2014 ◽  
Author(s):  
Hao Zhou ◽  
Fen Chen ◽  
Zongju Peng ◽  
Gangyi Jiang ◽  
Mei Yu ◽  
...  
Keyword(s):  
Spatial Processing ◽  
Processing Algorithm ◽  
Depth Video

scholarly journals Photoplethysmography for demarcation of cutaneous squamous cell carcinoma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Simon Mylius Rasmussen ◽  
Thomas Nielsen ◽  
Sofie Hody ◽  
Henrik Hager ◽  
Lars Peter Schousboe
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Video Processing ◽  
Processing Algorithm ◽  
Surgical Removal ◽  
Healthy Skin ◽  
Video Recordings ◽  
Remote Photoplethysmography ◽  
Significant Difference

AbstractA video processing algorithm designed to identify cancer suspicious skin areas is presented here. It is based on video recordings of squamous cell carcinoma in the skin. Squamous cell carcinoma is a common malignancy, normally treated by surgical removal. The surgeon should always balance sufficient tissue removal against unnecessary mutilation, and therefore methods for distinction of cancer boundaries are wanted. Squamous cell carcinoma has angiogenesis and increased blood supply. Remote photoplethysmography is an evolving technique for analysis of signal variations in video recordings in order to extract vital signs such as pulsation. We hypothesize that the remote photoplethysmography signal inside the area of a squamous cell carcinoma is significantly different from the surrounding healthy skin. Based on high speed video recordings of 13 patients with squamous cell carcinoma, we have examined temporal signal differences in cancer areas versus healthy skin areas. A significant difference in temporal signal changes between cancer areas and healthy areas was found. Our video processing algorithm showed promising results encouraging further investigation to clarify how detailed distinctions can be made.

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