Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ofer Miller"'
Autor:
Yael Weksler, Inbal Houri, Liat Deutsch, Helena Katchman, Ofer Miller, Noya Horowitz, Oren Shibolet
Publikováno v:
World Journal of Gastroenterology
Background Hepatitis C virus (HCV) infection is a leading cause of chronic liver disease worldwide. New treatments for HCV revolutionized management and prompted the world health organization to set the goal of viral elimination by 2030. These develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::908849e16132207418acf6ea180c9f10
http://europepmc.org/articles/PMC7459203
http://europepmc.org/articles/PMC7459203
Autor:
Inbal Houri, Noyah Horwitz, Helena Katzman, Yael Weksler, Ofer Miller, Liat Deutsch, Oren Shibolet
Publikováno v:
Journal of Hepatology. 73:S315-S316
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37bc2f6c715733fa4b4dd8745541f940
https://doi.org/10.1016/s0168-8278(20)31133-8
https://doi.org/10.1016/s0168-8278(20)31133-8
Publikováno v:
Pattern Recognition. 38:1976-1992
The goal of the presented change detection algorithm is to extract objects that appear in only one of two input images. A typical application is surveillance, where a scene is captured at different times of the day or even on different days. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894079bceb30767fa8ff4f8cc00c3c60
https://doi.org/10.1016/j.patcog.2004.07.010
https://doi.org/10.1016/j.patcog.2004.07.010
Publikováno v:
Image and Vision Computing. 23:69-85
The goal of still color image segmentation is to divide the image into homogeneous regions. Object extraction, object recognition and object-based compression are typical applications that use still segmentation as a low-level image processing. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::015cec30979dcd578df8f5a32aaa33b6
https://doi.org/10.1016/j.imavis.2004.05.011
https://doi.org/10.1016/j.imavis.2004.05.011
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2008, Iss 1, p 328052 (2008)
EURASIP Journal on Image and Video Processing, Vol 2008 (2008)
EURASIP Journal on Image and Video Processing, Vol 2008 (2008)
The paper suggests a contour-based algorithm for tracking moving objects in video. The inputs are segmented moving objects. Each segmented frame is transformed into region adjacency graphs (RAGs). The object's contour is divided into subcurves. Conto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91bd2848226702164e7591a89c83d9a8
http://jivp.eurasipjournals.com/content/2008/328052
http://jivp.eurasipjournals.com/content/2008/328052
Publikováno v:
ICIP (1)
This paper presents a fast global motion estimation (GME) algorithm based on gradient methods (GM), which can be used for real-time applications, such as MPEG-4 video compression. Our approach improves existing state-of-the-art GME algorithms by intr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68ac4750e6e2b5d66f9dc780c71a72bb
https://doi.org/10.1109/icip.2002.1038112
https://doi.org/10.1109/icip.2002.1038112
Publikováno v:
ICME
This paper suggests a novel contour-based algorithm for tracking moving objects in a video sequence. The algorithm uses the segmentation results of the input frames, which are represented by two region adjacency graphs (RAG) data structures. Based on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0ef91fce74e228d7805e708ae662f9b
https://doi.org/10.1109/icme.2003.1221251
https://doi.org/10.1109/icme.2003.1221251