Efficient spatiotemporal-attention-driven shot matching
Proceedings of the 15th international conference on Multimedia
Region-based visual attention analysis with its application in image browsing on small displays
Proceedings of the 15th international conference on Multimedia
Combining stroke-based and selection-based relevance feedback for content-based image retrieval
Proceedings of the 15th international conference on Multimedia
Generic object recognition with regional statistical models and layer joint boosting
Pattern Recognition Letters
Biologically Motivated Face Selective Attention Model
Neural Information Processing
Stereo Saliency Map Considering Affective Factors in a Dynamic Environment
Neural Information Processing
Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Approaches and Challenges for Cognitive Vision Systems
Creating Brain-Like Intelligence
See ColOr: Seeing Colours with an Orchestra
Human Machine Interaction
Salient region detection by modeling distributions of color and orientation
IEEE Transactions on Multimedia
Computational visual attention systems and their cognitive foundations: A survey
ACM Transactions on Applied Perception (TAP)
Collaboration of spatial and feature attention for visual tracking
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Online learning of task-driven object-based visual attention control
Image and Vision Computing
A biologically-inspired vision architecture for resource-constrained intelligent vehicles
Computer Vision and Image Understanding
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
IEEE Transactions on Image Processing
A biologically inspired object-based visual attention model
Artificial Intelligence Review
Visual attention model based object tracking
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Activity recognition by integrating the physics of motion with a neuromorphic model of perception
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
Autonomous behavior-based switched top-down and bottom-up visual attention for mobile robots
IEEE Transactions on Robotics
REM: relational entropy-based measure of saliency
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Content-aware video resizing based on salient visual cubes
Journal of Visual Communication and Image Representation
Mechatronic design of the Twente humanoid head
Intelligent Service Robotics
Modelling salient visual dynamics in videos
Multimedia Tools and Applications
Affective saliency map considering psychological distance
Neurocomputing
Knowledge-driven saliency: attention to the unseen
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Evaluation of the impetuses of scan path in real scene searching
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Learning what matters: combining probabilistic models of 2D and 3D saliency cues
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Predictive coding as a model of the V1 saliency map hypothesis
Neural Networks
Visual selection and attention shifting based on fitzhugh-nagumo equations
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Bio-inspired visual saliency detection and its application on image retargeting
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
A dynamic saliency attention model based on local complexity
Digital Signal Processing
Brain-enhanced synergistic attention (BESA)
Proceedings of the 4th Workshop on Eye Gaze in Intelligent Human Machine Interaction
Top-Down saliency by multi-scale contextual pooling
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Saliency detection for stereoscopic video
Proceedings of the 4th ACM Multimedia Systems Conference
A critical review of selective attention: an interdisciplinary perspective
Artificial Intelligence Review
Towards active event recognition
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Top-Down Saliency Detection via Contextual Pooling
Journal of Signal Processing Systems
A New Framework for Multiscale Saliency Detection Based on Image Patches
Neural Processing Letters
Salient object detection based on regions
Multimedia Tools and Applications
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Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are purely top-down or bottom-up. Here, we propose a new model that combines both. The bottom-up component computes the visual salience of scene locations in different feature maps extracted at multiple spatial scales. The topdown component uses accumulated statistical knowledge of the visual features of the desired search target and background clutter, to optimally tune the bottom-up maps such that target detection speed is maximized. Testing on 750 artificial and natural scenes shows that the model's predictions are consistent with a large body of available literature on human psychophysics of visual search. These results suggest that our model may provide good approximation of how humans combine bottom-up and top-down cues such as to optimize target detection speed.