Yayınlanmış 1 Ocak 2014
| Sürüm v1
Dergi makalesi
Açık
Multimodal concept detection in broadcast media: KavTan
Oluşturanlar
- Soysal, Medeni1
- Logoglu, K. Berker1
- Tekin, Mashar1
- Esen, Ersin1
- Saracoglu, Ahmet1
- Acar, Banu Oskay1
- Ozan, Ezgi Can1
- Ates, Tugrul K.1
- Sevimli, Hakan1
- Sevinc, Muge1
- Atil, Ilkay1
- Ozkan, Savas1
- Arabaci, Mehmet Ali1
- Tankiz, Seda1
- Karadeniz, Talha1
- Onur, Duygu1
- Selcuk, Sezin1
- Alatan, A. Aydin1
- Ciloglu, Tolga1
- 1. TUBITAK UZAY, Ankara, Turkey
Açıklama
Concept detection stands as an important problem for efficient indexing and retrieval in large video archives. In this work, the KavTan System, which performs high-level semantic classification in one of the largest TV archives of Turkey, is presented. In this system, concept detection is performed using generalized visual and audio concept detection modules that are supported by video text detection, audio keyword spotting and specialized audio-visual semantic detection components. The performance of the presented framework was assessed objectively over a wide range of semantic concepts (5 high-level, 14 visual, 9 audio, 2 supplementary) by using a significant amount of precisely labeled ground truth data. KavTan System achieves successful high-level concept detection performance in unconstrained TV broadcast by efficiently utilizing multimodal information that is systematically extracted from both spatial and temporal extent of multimedia data.
Dosyalar
bib-90a63446-4a80-4a07-b717-3004a792e583.txt
Dosyalar
(341 Bytes)
| Ad | Boyut | Hepisini indir |
|---|---|---|
|
md5:838a83a93206f5364ff211549ae61210
|
341 Bytes | Ön İzleme İndir |