Towards Using Semantic Features for Near-Duplicate Video Detection. Paper presented at the ICME 2010 Workshop on Visual Content Identification and Search in Singapore.

1. Towards using Semantic Features for Near-duplicate Video Detection Workshop on Visual Content Identification and Search Singapore – July 23, 2010 Hyun-seok Min , Wesley De Neve, Yong Man Ro Image and Video Systems Lab Department of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) email: hsmin@kaist.ac.kr

2. Outline semantic video signature 3. Experiments semantic concepts discussion methodology 4. Conclusions and future work background challenges 1. Introduction 2. Towards semantic-based NDVC detection /22

3. Outline semantic video signature 3. Experiments semantic concepts discussion methodology 4. Conclusions and future work background challenges 1. Introduction 2. Towards semantic-based NDVC detection /22

6. NDVC Examples /22 NDVC transformation (cam cording, subtitles) transformation (blur) original videos

9. Outline semantic video signature 3. Experiments semantic concepts discussion methodology 4. Conclusions and future work background challenges 1. Introduction 2. Towards semantic-based NDVC detection /22

12. Outline semantic video signature 3. Experiments semantic concepts discussion methodology 4. Conclusions and future work background challenges 1. Introduction 2. Towards semantic-based NDVC detection /22

20. Outline semantic video signature 3. Experiments semantic concepts discussion methodology 4. Conclusions and future work background challenges 1. Introduction 2. Towards semantic-based NDVC detection /22

22. Thank you! Any questions? /22