| 書目名稱 | Pixelization Paradigm |
| 副標題 | Visual Information E |
| 編輯 | Pierre P Lévy,Bénédicte Grand,Jean-Fran?ois Vibert |
| 視頻video | http://file.papertrans.cn/749/748155/748155.mp4 |
| 叢書名稱 | Lecture Notes in Computer Science |
| 圖書封面 |  |
| 描述 | The pixelization paradigm states as a postulate that pixelization methods are rich and are worth exploring as far as possible. In fact, we think that the strength of these methods lies in their simplicity, in their high-density way of information representation property and in their compatibility with neurocognitive processes. ? Simplicity, because pixelization belongs to two-dimensional information visualization methods and its main idea is identifying a “pixel” with an informational entity in order to translate a set of informational entities into an image. ? High-density way of information representation property, firstly because pixelization representation contains a third dimension—each pixel’s color—and secondly because pixelization is a “compact” (two-dimensional) way of representing information compared with linear one-dimensional representations (Ganascia, p.255) . ? Compatibility with neurocognitive processes, firstly because we are thr- dimensional beings and thus we are intrinsically better at grasping one- or two-dimensional data, and secondly because the cerebral cortex is typically a bi-dimensional structure where metaphorically the neurons can be assimilated to “pix |
| 出版日期 | Conference proceedings 2007 |
| 關鍵詞 | 2D view; 3D vision; Layout; Mapping; bioinformatics; classification; cognition; data mining; databases; featu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-71027-1 |
| isbn_softcover | 978-3-540-71026-4 |
| isbn_ebook | 978-3-540-71027-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer-Verlag Berlin Heidelberg 2007 |
|Archiver|手機版|小黑屋|
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