Zobrazeno 1 - 10
of 578
pro vyhledávání: '"Kiyoharu Aizawa"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Comics are a bimodal form of art involving a mixture of text and images. Since comics require a combination of various cognitive processes to comprehend their contents, the analysis of human comic reading behavior sheds light on how humans p
Externí odkaz:
https://doaj.org/article/e608bf58d2dd43fdbd39bb083676a8e5
Autor:
Koki Tsubota, Kiyoharu Aizawa
Publikováno v:
IEEE Access, Vol 11, Pp 4455-4465 (2023)
In deep image compression, uniform quantization is applied to latent representations obtained by using an auto-encoder architecture for reducing bits and entropy coding. Quantization is a problem encountered in the end-to-end training of deep image c
Externí odkaz:
https://doaj.org/article/306b87a84ac546bab190fdc9f5ff4925
Publikováno v:
IEEE Access, Vol 10, Pp 89124-89133 (2022)
360° images are informative – it contains omnidirectional visual information around the camera. However, the areas that cover a 360° image is much larger than the human’s field of view, therefore important information in different view directio
Externí odkaz:
https://doaj.org/article/7c210f0c10744559ab034d60f30eec7f
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0193149 (2018)
Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention system of young adults that, however, largely ignore the variations that
Externí odkaz:
https://doaj.org/article/85eac70cb4a44811bfb18537d7acbe2e
Publikováno v:
Advances in Multimedia, Vol 2009 (2009)
A system for retrieving video sequences created by tracking humans in a smart environment, by using spatial queries, is presented. Sketches made with a pointing device on the floor layout of the environment are used to form queries corresponding to l
Externí odkaz:
https://doaj.org/article/f5f03e5999954bcfa065cdd59943abd4
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2008)
Recently, time-varying mesh (TVM), which is composed of a sequence of mesh models, has received considerable interest due to its new and attractive functions such as free viewpoint and interactivity. TVM captures the dynamic scene of the real world f
Externí odkaz:
https://doaj.org/article/e40aa2a045c24c0b86185534811e7276
Autor:
Kiyoharu Aizawa, Toshihiko Yamasaki
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2008)
A highly accurate motion segmentation technique for time-varying mesh (TVM) is presented. In conventional approaches, motion of the objects was analyzed using shape feature vectors extracted from TVM frames. This was because it was very difficult to
Externí odkaz:
https://doaj.org/article/152faac7008747aba6866f10ca6ef08b
Autor:
Kiyoharu Aizawa, Toshihiko Yamasaki
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
A similar motion search and retrieval system for 3D video are presented based on a modified shape distribution algorithm. 3D video is a sequence of 3D models made for a real-world object. In the present work, three fundamental functions for efficient
Externí odkaz:
https://doaj.org/article/bf1ec131f67544ad893b98595a5b418e
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3161-3169
Unsupervised domain adaptation (UDA) has been highly successful in transferring knowledge acquired from a label-rich source domain to a label-scarce target domain. Open-set domain adaptation (open-set DA) and universal domain adaptation (UniDA) have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e8529e05c36a0fbfff99a486335e79d
https://doi.org/10.1609/aaai.v36i3.20224
https://doi.org/10.1609/aaai.v36i3.20224
Autor:
Kiyoharu AIZAWA
Publikováno v:
IEICE Transactions on Information and Systems. :38-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ea1c4b68088687db5db5495230584e5
https://doi.org/10.1587/transinf.2021mui0001
https://doi.org/10.1587/transinf.2021mui0001