publication . Preprint . 2016

Attentional Push: Augmenting Salience with Shared Attention Modeling

Gorji, Siavash; Clark, James J.;
Open Access English
  • Published: 31 Aug 2016
Abstract
We present a novel visual attention tracking technique based on Shared Attention modeling. Our proposed method models the viewer as a participant in the activity occurring in the scene. We go beyond image salience and instead of only computing the power of an image region to pull attention to it, we also consider the strength with which other regions of the image push attention to the region in question. We use the term Attentional Push to refer to the power of image regions to direct and manipulate the attention allocation of the viewer. An attention model is presented that incorporates the Attentional Push cues with standard image salience-based attention mode...
Subjects
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Download from
50 references, page 1 of 4

1. Tsotsos, J.K.: Analyzing vision at the complexity level. Behavioral and Brain Sciences 13 (1990) 423{445

2. Walther, D., Koch, C.: Modeling attention to salient proto-objects. Neural Networks 19(9) (2006) 1395 { 1407

3. Benfold, B., Reid, I.: Guiding visual surveillance by tracking human attention. In: Proceedings of the 20th British Machine Vision Conference. (2009) 1{11

4. Ferreira, J., Dias, J.: Attentional mechanisms for socially interactive robots- a survey. Autonomous Mental Development, IEEE Transactions on 6(2) (June 2014) 110{125

5. Rosenholtz, R., Dorai, A., Freeman, R.: Do predictions of visual perception aid design? ACM Trans. Appl. Percept. 8(2) (February 2011) 12:1{12:20

6. Treisman, A.M., Gelade, G.: A feature-integration theory of attention. Cognitive Psychology 12(1) (1980) 97{136

7. Koch, C., Ullman, S.: Shifts in selective visual attention: Towards the underlying neural circuitry. Human Neurobiology 4(4) (1985) 219{227 [OpenAIRE]

8. Clark, J.J., Ferrier, N.J.: Modal control of an attentive vision system. In: Computer Vision., Second International Conference on. (Dec 1988) 514{523 [OpenAIRE]

9. Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on 20(11) (1998) 1254{1259

10. Harel, J., Koch, C., Perona, P.: Graph-based visual saliency. In: NIPS. (2007) 545{52

11. Goferman, S., Zelnik-Manor, L., Tal, A.: Context-aware saliency detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on 34(10) (2012) 1915{1926

12. Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., Dutoit, T.: Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Processing: Image Communication 28(6) (2013) 642{658 [OpenAIRE]

13. Garcia-Diaz, A., Leborn, V., Fdez-Vidal, X.R., Pardo, X.M.: Corrections to: On the relationship between optical variability, visual saliency, and eye xations: A computational approach. Journal of Vision 12(7) (2012) 13

14. Zhang, J., Sclaro , S.: Saliency detection: A boolean map approach. In: Computer Vision (ICCV), 2013 IEEE International Conference on. (2013) 153{160

15. Borji, A., Itti, L.: State-of-the-art in visual attention modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(1) (2013) 185{207

50 references, page 1 of 4
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue