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Negatif olmayan matris ayriştirma ile i̇kili video kiyimlama

  • Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıHakem

Özet

This paper presents the video fingerprinting method proposed to TRECVID Content Based Copy Detection task İTÜ MSPR Group. The proposed system consists of two modules: video fingerprint extraction and search-retrieval. Fingerprint extraction module performs a binary hashing scheme to generate the video fingerprints by using the mixing and encoding matrices obtained by non-negative matrix factorization (NMF) which is commonly used in dimension reduction. Search and retrieval module first applies a hash matching procedure to locate potential matching points. It is followed by temporal merging that eliminates false alarms while combining subsegments. Test results obtained on TRECVID video sequences illustrate that the proposed fingerprinting method is highly robust to insertion of pattern, blurring, change of gamma and noise addition attacks. We are currently working on to improve the robustness to geometric transformations such as shift, crop, flip and picture-in-picture.

Tercüme edilen katkı başlığıBinary video hashing by non-negative matrix factorization
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
Sayfalar894-897
Sayfa sayısı4
DOI'lar
Yayın durumuYayınlandı - 2010
Etkinlik18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Türkiye
Süre: 22 Nis 201024 Nis 2010

Yayın serisi

AdıSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference

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???event.eventtypes.event.conference???18th IEEE Signal Processing and Communications Applications Conference, SIU 2010
Ülke/BölgeTürkiye
ŞehirDiyarbakir
Periyot22/04/1024/04/10

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