From Event: SPIE Optical Engineering + Applications, 2017
Nowadays there is a trend towards the use of unimodal databases for multimedia content description, organization and retrieval applications of a single type of content like text, voice and images, instead bimodal databases allow to associate semantically two different types of content like audio-video, image-text, among others. The generation of a bimodal database of audio-video implies the creation of a connection between the multimedia content through the semantic relation that associates the actions of both types of information. This paper describes in detail the used characteristics and methodology for the creation of the bimodal database of violent content; the semantic relationship is stablished by the proposed concepts that describe the audiovisual information. The use of bimodal databases in applications related to the audiovisual content processing allows an increase in the semantic performance only and only if these applications process both type of content. This bimodal database counts with 580 audiovisual annotated segments, with a duration of 28 minutes, divided in 41 classes. Bimodal databases are a tool in the generation of applications for the semantic web.
Jose Luis Rivera Martínez, Mario Humberto Mijes Cruz, Manuel Antonio Rodríguez Vázqu, Luis Rodríguez Espejo, Abraham Montoya Obeso, Mireya Saraí García Vázquez, and Alejandro Álvaro Ramírez Acosta, "BDVC (Bimodal Database of Violent Content): A database of violent audio and video," Proc. SPIE 10396, Applications of Digital Image Processing XL, 103961O (Presented at SPIE Optical Engineering + Applications: August 10, 2017; Published: 6 October 2017); https://doi.org/10.1117/12.2274735.
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