TY - GEN
T1 - An Efficient Content-Based Video Retrieval for Large Databases
AU - Cedillo-Hernandez, Antonio
AU - Cedillo-Hernandez, Manuel
AU - Garcia-Ugalde, Francisco
AU - Nakano-Miyatake, Mariko
AU - Perez-Meana, Hector
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - Multimedia data grows fast due to advances in information technologies, creating the demand for efficient video indexing and object retrieval techniques. Traditional methods consume significant computational resources such as storage space and processing time. In this paper we propose an efficient content-based video retrieval system that is based on three main stages. The first stage involves computing the DCimage of each I-frame, from which a summarization process to extract key-frames is performed. During the second stage, a segmentation processes is applied to each key-frame in order to isolate the region of interest within it. Local features are extracted from the resulting area and are stored as the descriptor of the frame. The retrieval stage is carried out by computing the Euclidean distance and determines if its content is related with the video database. Experimental results show that the proposed approach is promising in terms of efficiency and effectiveness.
AB - Multimedia data grows fast due to advances in information technologies, creating the demand for efficient video indexing and object retrieval techniques. Traditional methods consume significant computational resources such as storage space and processing time. In this paper we propose an efficient content-based video retrieval system that is based on three main stages. The first stage involves computing the DCimage of each I-frame, from which a summarization process to extract key-frames is performed. During the second stage, a segmentation processes is applied to each key-frame in order to isolate the region of interest within it. Local features are extracted from the resulting area and are stored as the descriptor of the frame. The retrieval stage is carried out by computing the Euclidean distance and determines if its content is related with the video database. Experimental results show that the proposed approach is promising in terms of efficiency and effectiveness.
KW - DC-frame
KW - Efficient CBVR system
KW - SURF
KW - Video indexing
UR - http://www.scopus.com/inward/record.url?scp=84964335007&partnerID=8YFLogxK
U2 - 10.1109/ICMEAE.2015.11
DO - 10.1109/ICMEAE.2015.11
M3 - Contribución a la conferencia
AN - SCOPUS:84964335007
T3 - Proceedings - 2015 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015
SP - 15
EP - 19
BT - Proceedings - 2015 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2015
Y2 - 24 November 2015 through 27 November 2015
ER -