抄録
An integration of neural and ordinary computations toward multimedia processing is presented. The handled media is a combination of still images and animations. The neurocomputation here is the multiply descent cost competitive learning. This algorithm generates two types of feature maps. One of them, an optimized grouping pattern of pixels by self-organization, is used. A data-compressed still image can be recovered from this feature map by virtue of the multiply descent cost competitive learning. Next, this map is contorted according to a user's request. At the final step, a movie is virtually generated from the compressed still image via a set of animation tools. Thus, neurocomputation can be a useful item in the toolbox for creating the virtual reality besides the real-world computing.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the International Joint Conference on Neural Networks |
| Place of Publication | Piscataway, NJ, United States |
| 出版社 | Publ by IEEE |
| ページ | 2061-2064 |
| ページ数 | 4 |
| 巻 | 3 |
| ISBN（印刷版） | 0780314212, 9780780314214 |
| 出版ステータス | Published - 1993 |
| 外部発表 | はい |
| イベント | Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn 継続期間: 1993 10 25 → 1993 10 29 |
Other
| Other | Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) |
|---|---|
| City | Nagoya, Jpn |
| Period | 93/10/25 → 93/10/29 |
ASJC Scopus subject areas
- 工学（全般）