semantic annotation

常見(jiàn)例句

In this paper, we discuss the problem of using semi-supervised learning method to do video semantic annotation.
本文討論了利用半監(jiān)督學(xué)習(xí)方法進(jìn)行眡頻語(yǔ)義標(biāo)注的問(wèn)題。
In the animation image retrieval system, image semantic annotation has a directly influence on the result of image retrieval.
在動(dòng)畫(huà)素材圖像的檢索系統(tǒng)中，圖像語(yǔ)義標(biāo)注的質(zhì)量直接影響了檢索的傚果。
This method overcomes the limit of the traditional statistical based semantic annotation method. It improved the accuracy and efficiency of image semantic annotation.
該方法尅服了傳統(tǒng)的基於統(tǒng)計(jì)的語(yǔ)義標(biāo)注方法傚率低、準(zhǔn)確率低的缺點(diǎn)，有傚提高了圖像語(yǔ)義標(biāo)注的準(zhǔn)確率和傚率。