RT Journal Article
T1 Exploiting visual saliency for assessing the impact of car commercials upon viewers
A1 Fernández Martínez, Fernando
A1 Hernández García, Alejandro
A1 Fernández Torres, Miguel Ángel
A1 González Díaz, Iván
A1 Garcia Faura, Alvaro
A1 Díaz de María, Fernando
AB Content based video indexing and retrieval (CBVIR) is a lively area of research which focuses on automating the indexing, retrieval and management of videos. This area has a wide spectrum of promising applications where assessing the impact of audiovisual productions emerges as a particularly interesting and motivating one. In this paper we present a computational model capable to predict the impact (i.e. positive or negative) upon viewers of car advertisements videos by using a set of visual saliency descriptors. Visual saliency provides information about parts of the image perceived as most important, which are instinctively targeted by humans when looking at a picture or watching a video. For this reason we propose to exploit visual information, introducing it as a new feature which reflects high-level semantics objectively, to improve the video impact categorization results. The suggested salience descriptors are inspired by the mechanisms that underlie the attentional abilities of the human visual system and organized into seven distinct families according to different measurements over the identified salient areas in the video frames, namely population, size, location, geometry, orientation, movement and photographic composition. Proposed approach starts by computing saliency maps for all the video frames, where two different visual saliency detection frameworks have been considered and evaluated: the popular graph based visual saliency (GBVS) algorithm, and a state-of-the-art DNN-based approach.
PB Springer
SN 1380-7501
YR 2018
FD 2018-08-01
LK https://hdl.handle.net/10016/30820
UL https://hdl.handle.net/10016/30820
LA eng
NO This work has been partially supported by the National Grants RTC-2016-5305-7 and TEC2014-53390-P of the Spanish Ministry of Economy and Competitiveness.
DS e-Archivo
RD 27 jul. 2024