Efficient near-duplicate image detection with created feature subset Olusturulan Öznitelik Alt Kümesiyle Verimli Neredeyse Özdes Görüntü Tespiti
24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.1901-1904, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu.2016.7496136
- Basıldığı Şehir: Zonguldak
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1901-1904
- Anahtar Kelimeler: density map creation, interest point selection, near-duplicate image detection, near-duplicate image retrieval
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır
Özet
© 2016 IEEE.The creation of distinctive subset of the interest points for near-duplicate image detection is significant in two terms. The former is that the query time decreases reasonably. The latter is that using the distinctive subset of the interest points for near-duplicate detection performs better than the ordinary subsets. In this paper, we propose a novel interest point selection method. Such a method, the distinctive subset is created with a density map which is calculated from the interest points to rank them. We examined some experiments to show the performance of the proposed method and we get a performance of 95.46% recall while the precision is 96.04%.