| dbo:abstract |
في الرؤية الحاسوبية، يمكن تطبيق نموذج حقيبة الكلمات (بالإنجليزية: bag-of-words model) لتصنيف الصور عن طريق معاملة ملامح الصور image features كأنها كلمات. ففي مجال التعرف وتصنيف الوثائق، حقيبة الكلمات هي عبارة عن متجهه رياضي vector يعبر عن مدي تكرار هذه الكلمات في النص ويكون ذلك عن طريق مدرج تكراري histogram لكل الكلمات الممكنة في النص. أما في مجال الرؤية الحاسوبية تكون حقيبة الكلمات هي عبارة عن مدرج تكراري يعبر عن مدي تكرار ملمح معين للصورة في صورة معينة. (ar) In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model can be applied to image classification or retrieval, by treating image features as words. In document classification, a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary. In computer vision, a bag of visual words is a vector of occurrence counts of a vocabulary of local image features. (en) |
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في الرؤية الحاسوبية، يمكن تطبيق نموذج حقيبة الكلمات (بالإنجليزية: bag-of-words model) لتصنيف الصور عن طريق معاملة ملامح الصور image features كأنها كلمات. ففي مجال التعرف وتصنيف الوثائق، حقيبة الكلمات هي عبارة عن متجهه رياضي vector يعبر عن مدي تكرار هذه الكلمات في النص ويكون ذلك عن طريق مدرج تكراري histogram لكل الكلمات الممكنة في النص. أما في مجال الرؤية الحاسوبية تكون حقيبة الكلمات هي عبارة عن مدرج تكراري يعبر عن مدي تكرار ملمح معين للصورة في صورة معينة. (ar) In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model can be applied to image classification or retrieval, by treating image features as words. In document classification, a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary. In computer vision, a bag of visual words is a vector of occurrence counts of a vocabulary of local image features. (en) |
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نموذج حقيبة الكلمات في الرؤية الحاسوبية (ar) Bag-of-words model in computer vision (en) |
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