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Título del libro: Proceedings - 2014 Ieee International Conference On Mechatronics, Electronics, And Automotive Engineering, Icmeae 2014
Título del capítulo: Content Based Video Retrival System for Mexican Culture Heritage Based on Object Matching and Local-Global Descriptors

Autores UNAM:
MANUEL CEDILLO HERNANDEZ; FRANCISCO JAVIER GARCIA UGALDE;
Autores externos:

Idioma:
Inglés
Año de publicación:
2015
Palabras clave:

Automotive engineering; Color; Discrete cosine transforms; Image coding; Image retrieval; Information retrieval; Color descriptors; Content-based video retrieval; Content-based video retrieval systems; Discrete cosine transform coefficients; Dominant color descriptors; Networking technology; Precision and recall; Speeded up robust features; Search engines


Resumen:

Multimedia data and networking technologies have had a highly growing during the last decade, with these changes users have changed from text to content based video retrieval systems due to its better performance. We propose a fast content-based video retrieval system which involves the combination of a local descriptor obtained from the speeded-up robust feature algorithm together with an effective and fast object matching operation. To save computational time, compressed video data are partially decoded in order to get discrete cosine transform coefficients of key frames, which are used to obtain sub-block coefficients and a down-sampling version of frames. The preliminary results are ranking using an efficient color descriptor based on color correlogram and dominant color descriptors. To measure the performance of the proposed technique the precision and recall metrics are used. The experimental results show the accuracy of the proposed method applied to a database of Mexican Culture Heritage videos. © 2014 IEEE.


Entidades citadas de la UNAM: