[go: up one dir, main page]

Hosseinkhani et al., 2018 - Google Patents

Significance of Bottom-up Attributes in Video Saliency Detection Without Cognitive Bias

Hosseinkhani et al., 2018

Document ID
16013233107759677683
Author
Hosseinkhani J
Joslin C
Publication year
Publication venue
2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC)

External Links

Snippet

Saliency in an image or video is the region of interest that stands out relative to its neighbors and consequently attracts more human attention. To determine the salient areas within a scene, visual importance and distinctiveness of the regions must be measured. A key factor …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00597—Acquiring or recognising eyes, e.g. iris verification
    • G06K9/00604—Acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

Similar Documents

Publication Publication Date Title
Bailey et al. Subtle gaze direction
Mack et al. Object co-occurrence serves as a contextual cue to guide and facilitate visual search in a natural viewing environment
Hayes et al. Scene semantics involuntarily guide attention during visual search
Kishishita et al. Analysing the effects of a wide field of view augmented reality display on search performance in divided attention tasks
Mital et al. Clustering of gaze during dynamic scene viewing is predicted by motion
Foulsham et al. Are fixations in static natural scenes a useful predictor of attention in the real world?
Foulsham et al. Asymmetries in the direction of saccades during perception of scenes and fractals: Effects of image type and image features
CN102934458A (en) Interest degree estimation device and interest degree estimation method
End et al. Task instructions can accelerate the early preference for social features in naturalistic scenes
Lim et al. Investigation of driver performance with night vision and pedestrian detection systems—Part I: Empirical study on visual clutter and glance behavior
Gautier et al. A time-dependent saliency model combining center and depth biases for 2D and 3D viewing conditions
Rudoy et al. Crowdsourcing gaze data collection
Xu et al. Pupillary response based cognitive workload index under luminance and emotional changes
Nuthmann et al. Visual search in naturalistic scenes from foveal to peripheral vision: A comparison between dynamic and static displays
Weber et al. Gaze3DFix: Detecting 3D fixations with an ellipsoidal bounding volume
McDonnell et al. Smooth movers: perceptually guided human motion simulation
Hosseinkhani et al. Significance of Bottom-up Attributes in Video Saliency Detection Without Cognitive Bias
Kurzhals et al. Evaluation of attention‐guiding video visualization
US20240320854A1 (en) Method to determine universal heat map
SE2350413A1 (en) Method to Determine Universal Heat Map
Hosseinkhani et al. Investigating into saliency priority of bottom-up attributes in 2D videos without cognitive bias
Khaustova et al. An investigation of visual selection priority of objects with texture and crossed and uncrossed disparities
Silva et al. Assessing the influence of combinations of blockiness, blurriness, and packet loss impairments on visual attention deployment
Herdtweck et al. Estimation of the horizon in photographed outdoor scenes by human and machine
Chaabouni et al. Impact of saliency and gaze features on visual control: Gaze-saliency interest estimator