10.4: A panoramic video processing algorithm based on variable surface projection

2021 ◽  
Vol 52 (S2) ◽  
pp. 164-164
Author(s):  
Sige Bian ◽  
Yongming Tang
Keyword(s):  
Video Processing ◽  
Processing Algorithm ◽  
Variable Surface ◽  
Surface Projection ◽  
Panoramic 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.

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
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