Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Miquel Feixas"'
Publikováno v:
Entropy, Vol 22, Iss 12, p 1346 (2020)
Information theory, and the concept of information channel, allows us to calculate the mutual information between the source (input) and the receiver (output), both represented by probability distributions over their possible states. In this paper, w
Externí odkaz:
https://doaj.org/article/46e72eadd8264c3a943d7f6279e88dba
Publikováno v:
Entropy, Vol 22, Iss 5, p 540 (2020)
This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channel, the gaze
Externí odkaz:
https://doaj.org/article/43e34b81b4724b519042ae363783ceba
Publikováno v:
Entropy, Vol 13, Iss 10, Pp 1805-1828 (2011)
This paper presents a study and a comparison of the use of different information-theoretic measures for polygonal mesh simplification. Generalized measures from Information Theory such as Havrda–Charvát–Tsallis entropy and mutual information hav
Externí odkaz:
https://doaj.org/article/5760f0d24b18465ca2508f2b5cdc02b6
Publikováno v:
Entropy, Vol 13, Iss 9, Pp 1694-1707 (2011)
Mutual information is one of the mostly used measures for evaluating image similarity. In this paper, we investigate the application of three different Tsallis-based generalizations of mutual information to analyze the similarity between scanned docu
Externí odkaz:
https://doaj.org/article/8c3bb841be674b3ab920c88834137fa4
Publikováno v:
Entropy, Vol 20, Iss 7, p 491 (2018)
Brain networks are widely used models to understand the topology and organization of the brain. These networks can be represented by a graph, where nodes correspond to brain regions and edges to structural or functional connections. Several measures
Externí odkaz:
https://doaj.org/article/7300162d954e4e03aded64b726ce4041
Publikováno v:
Entropy, Vol 20, Iss 5, p 370 (2018)
Viewpoint selection has been an emerging area in computer graphics for some years, and it is now getting maturity with applications in fields such as scene navigation, scientific visualization, object recognition, mesh simplification, and camera plac
Externí odkaz:
https://doaj.org/article/b69dfdae5e604cf0a9399e652ecafb89
Publikováno v:
Neural Information Processing ISBN: 9783031301049
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bab5b2f2d4b9b58629d2fe6e7bbd1210
https://doi.org/10.1007/978-3-031-30105-6_4
https://doi.org/10.1007/978-3-031-30105-6_4
Autor:
Qi Zhao, Jiawan Zhang, Marius Vila, Miquel Feixas, Cosmin Ancuti, Qiaohong Hao, Qinghe Feng, Mateu Sbert
Publikováno v:
© Computer Journal, 2021, vol. undef, núm. undef, p. bxab148
Articles publicats (D-IMAE)
Hao, Qiaohong Zhao, Qi Sbert, Mateu Feng, Qinghe Ancuti, Cosmin Feixas Feixas, Miquel Vila Duran, Marius Zhang, Jiawan 2021 Information-Theoretic Channel for Multi-exposure Image Fusion Computer Journal undef undef bxab148
DUGiDocs – Universitat de Girona
instname
Articles publicats (D-IMAE)
Hao, Qiaohong Zhao, Qi Sbert, Mateu Feng, Qinghe Ancuti, Cosmin Feixas Feixas, Miquel Vila Duran, Marius Zhang, Jiawan 2021 Information-Theoretic Channel for Multi-exposure Image Fusion Computer Journal undef undef bxab148
DUGiDocs – Universitat de Girona
instname
Multi-exposure image fusion has emerged as an increasingly important and interesting research topic in information fusion. It aims at producing an image with high quality by fusing a set of differently exposed images. In this article, we present a pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ffd61bc8148c89b4885a0d03651a990
https://doi.org/10.1093/comjnl/bxab148
https://doi.org/10.1093/comjnl/bxab148
Autor:
Mateu Sbert, Miquel Feixas
Publikováno v:
Advances in Info-Metrics
Around seventy years ago, Claude Shannon, who was working at Bell Laboratories, introduced information theory with the main purpose of dealing with the communication channel between source and receiver. The communication channel, or information chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7821b26b9306cb241c40487d5b03574e
https://doi.org/10.1093/oso/9780190636685.003.0017
https://doi.org/10.1093/oso/9780190636685.003.0017
Publikováno v:
Entropy, Vol 22, Iss 540, p 540 (2020)
Entropy
Volume 22
Issue 5
Entropy, 2020, vol. 22, núm. 5, p. 540
Articles publicats (D-IMAE)
Hao, Qiaohong Ma, Lijing Sbert, Mateu Feixas Feixas, Miquel Zhang, Jiawan 2020 Gaze Information Channel in Van Gogh's Paintings Entropy 22 5 540
DUGiDocs – Universitat de Girona
instname
Entropy
Volume 22
Issue 5
Entropy, 2020, vol. 22, núm. 5, p. 540
Articles publicats (D-IMAE)
Hao, Qiaohong Ma, Lijing Sbert, Mateu Feixas Feixas, Miquel Zhang, Jiawan 2020 Gaze Information Channel in Van Gogh's Paintings Entropy 22 5 540
DUGiDocs – Universitat de Girona
instname
This paper uses quantitative eye tracking indicators to analyze the relationship between images of paintings and human viewing. First, we build the eye tracking fixation sequences through areas of interest (AOIs) into an information channel, the gaze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60fd4e0bbc45814f5a3b718e71cb0444
https://www.mdpi.com/1099-4300/22/5/540
https://www.mdpi.com/1099-4300/22/5/540