To identify nonobjective images by Support Vector Machine
碩士 === 國立高雄應用科技大學 === 資訊工程系 === 105 === One of the difficulties in searching natural images is the semantic gap between low-level pixel data and the content that the image is perceived by human. Most of the research focus on entity images which often contain objects in it, such as dinosaurs, flowers...
Main Author: | 黃泓偉 |
---|---|
Other Authors: | Wen-Yu Chung |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/tu9d2j |
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