TY - GEN
T1 - Video copy detection based on segment feature extraction
AU - Kim, Jaekwang
AU - Jang, Jae Hyung
AU - Kim, Tae Yeon
AU - Lee, Jee Hyong
PY - 2010
Y1 - 2010
N2 - Video has recently been commonly used for transferring information due to the continuous growth of the Internet. Because of this, illegal video copy detection is one of the most needed technologies. Existing video copy detection methods compare the whole video frames, so it may take a long time to detect a copy among many reference videos. In this paper, we propose a video copy detection method based on segment feature extraction. Our method groups similar frames as a segment, and then compares the similarity between two videos based on the segments. To evaluate our method, we used 100-hour quantity reference videos and 50 video files. We measured the video copy detection time and the detection accuracy by comparing with these sources. The result of these tests confirms that our method is 60 times more time-cost effective than, and just as accurate as, the existing method.
AB - Video has recently been commonly used for transferring information due to the continuous growth of the Internet. Because of this, illegal video copy detection is one of the most needed technologies. Existing video copy detection methods compare the whole video frames, so it may take a long time to detect a copy among many reference videos. In this paper, we propose a video copy detection method based on segment feature extraction. Our method groups similar frames as a segment, and then compares the similarity between two videos based on the segments. To evaluate our method, we used 100-hour quantity reference videos and 50 video files. We measured the video copy detection time and the detection accuracy by comparing with these sources. The result of these tests confirms that our method is 60 times more time-cost effective than, and just as accurate as, the existing method.
KW - Multimedia
KW - Segment feature extraction
KW - Video copy detection
UR - https://www.scopus.com/pages/publications/77954577258
M3 - Conference contribution
AN - SCOPUS:77954577258
SN - 9780889868182
T3 - Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
SP - 224
EP - 228
BT - Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
T2 - 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
Y2 - 15 February 2010 through 17 February 2010
ER -