International Journal of Advances in Intelligent Informatics
Vol 6, No 1 (2020): March 2020

Bottom-up visual attention model for still image: a preliminary study

Adhi Prahara (Universitas Ahmad Dahlan)
Murinto Murinto (Universitas Ahmad Dahlan)
Dewi Pramudi Ismi (Universitas Ahmad Dahlan)

Article Info

Publish Date
31 Mar 2020


The philosophy of human visual attention is scientifically explained in the field of cognitive psychology and neuroscience then computationally modeled in the field of computer science and engineering. Visual attention models have been applied in computer vision systems such as object detection, object recognition, image segmentation, image and video compression, action recognition, visual tracking, and so on. This work studies bottom-up visual attention, namely human fixation prediction and salient object detection models. The preliminary study briefly covers from the biological perspective of visual attention, including visual pathway, the theory of visual attention, to the computational model of bottom-up visual attention that generates saliency map. The study compares some models at each stage and observes whether the stage is inspired by biological architecture, concept, or behavior of human visual attention. From the study, the use of low-level features, center-surround mechanism, sparse representation, and higher-level guidance with intrinsic cues dominate the bottom-up visual attention approaches. The study also highlights the correlation between bottom-up visual attention and curiosity.

Copyrights © 2020

Journal Info





Computer Science & IT


International journal of advances in intelligent informatics (IJAIN) e-ISSN: 2442-6571 is a peer reviewed open-access journal published three times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and ...