Görüntülerden Derin Öğrenmeye Dayalı Otomatik Metin Çıkarma: Bir Görüntü Yakalama Sistemi

Yıl 2022, Cilt: 34 Sayı: 2, 829 - 837, 30.09.2022

Zeynep Karaca Bihter Daş

https://doi.org/10.35234/fumbd.1148296

Öz

Bilgisayarlı görme ve doğal dil işlemenin çalışma alanlarından biri olan görüntüden metin üretme (image capturing), doğal bir dil kullanarak görüntü içeriğini otomatik olarak tanımlama görevidir. Bu çalışmada, MS COCO veri seti üzerinde İngilizce dili için encoder-decoder tekniğine dayalı bir otomatik altyazı oluşturma yaklaşımı önerilmiştir. Önerilen yaklaşımda, görüntü özniteliklerini çıkarmak için encoder olarak Evrişimli Sinir Ağı (CNN) mimarisi ve görüntülerden altyazı oluşturmak için bir decoder olarak Tekrarlayan Sinir Ağı (RNN) mimarisi kullanılmıştır. Önerilen yaklaşımın performansı BLEU, METEOR ve ROUGE_L değerlendirme kriterleri kullanılarak değerlendirilmiş ve her bir görüntüden 5 cümle elde edilmiştir. Deneysel sonuçlar, modelin görüntülerdeki nesneleri doğru bir şekilde algılamada tatmin edici olduğunu göstermektedir.

Anahtar Kelimeler

Doğal Dil İşleme, Görüntü Yakalama, Metin Tarama, Metin Tahmini, Derin Öğrenme

Kaynakça

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