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Computational Scene Analysis
[chapter]
2007
Studies in Computational Intelligence
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Recent results on visual and auditory scene analysis are described in the oscillatory correlation framework, with emphasis on real-world scenes. ...
The LEGION network lays a computational foundation for oscillatory correlation, which is a special form of temporal correlation. ...
This research was supported in part by an AFOSR grant (FA9550-04-1-0117) and an AFRL grant (FA8750-04-1-0093). ...
doi:10.1007/978-3-540-71984-7_8
fatcat:x2rojzgtrrelphdiqs4rkgfium
Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models
1999
IEEE Transactions on Neural Networks
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Other recently observed cortical effects that potentially support scene segmentation are shortly reviewed to stimulate further ideas for models. ...
This was supported by the discovery of synchronized neural activities in cat and monkey visual cortex which occurred stimulus dependent either oscillatory (30-100 Hz) or nonrhythmical, internally generated ...
of PCNN's for scene segmentation often Fig. 6 . ...
doi:10.1109/72.761705
pmid:18252546
fatcat:b7uahvt6ajgezd2e2srooradea
Direct physiological evidence for scene segmentation by temporal coding
1991
Proceedings of the National Academy of Sciences of the United States of America
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Theoretical studies have suggested that scene segmentation may be accomplished by a temporal coding mechanism using synchronization of neuronal responses. ...
These results are compatible with the hypothesis that responses to individual objects in a scene are distuished by synchrony, whereas responses to different objects show no temporal correlation, thus allowing ...
According to these proposals, perceptual coherence within a segment of a scene should be expressed by response synchronization of feature-detecting neurons. ...
doi:10.1073/pnas.88.20.9136
pmid:1924376
pmcid:PMC52667
fatcat:mo642vcw7bacpilmefzqvtucoi
An oscillatory correlation model of object-based attention
2009
2009 International Joint Conference on Neural Networks
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We present a neurocomputational model of object-based selection in the framework of oscillatory correlation. ...
By segmenting an input scene and integrating the segments with their conspicuity obtained from a saliency map, the model selects salient objects rather than salient locations. ...
The oscillatory correlation theory has been applied to various tasks of scene analysis (see [21] for an extensive review). ...
doi:10.1109/ijcnn.2009.5178597
dblp:conf/ijcnn/QuilesWZRH09
fatcat:yqskf4v3lvfn5gfl64hbhqz7w4
The Time Dimension for Scene Analysis
2005
IEEE Transactions on Neural Networks
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The temporal correlation theory as well as its special form -oscillatory correlation theory, is discussed as an adequate representation theory to address the binding problem. ...
Recent advances in understanding oscillatory dynamics are reviewed, and these advances have overcome key computational obstacles for the development of the oscillatory correlation theory. ...
This work was supported in part by an NSF grant (IIS-0081058) and an AFOSR grant (F49620-01-1-0027). ...
doi:10.1109/tnn.2005.852235
pmid:16342484
fatcat:36wrmgjbzvfb5ccrihz5ncrvfi
A learning algorithm for oscillatory cellular neural networks
1999
Neural Networks
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Furthermore, by using special grouping synapses it is demonstrated that temporal segregation of overlapping gray-level and color segments can also be achieved. ...
The dynamics of traditional oscillatory models is simplified by using only one plastic synapse, and the overall complexity for hardware implementation is reduced. ...
This project was supported in part by CityU strategic grant 7000749-570. ...
doi:10.1016/s0893-6080(99)00035-0
pmid:12662659
fatcat:zhzmkghct5dflgflbjgy5fjqze
Selecting salient objects in real scenes: An oscillatory correlation model
2011
Neural Networks
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We present a neurocomputational model of object-based selection in the framework of oscillatory correlation. ...
By segmenting an input scene and integrating the segments with their conspicuity obtained from a saliency map, the model selects salient objects rather than salient locations. ...
The oscillatory correlation theory has been applied to various tasks of scene analysis, such as texture segmentation, motion analysis, and auditory scene segregation (see [37] for an extensive review ...
doi:10.1016/j.neunet.2010.09.002
pmid:20884173
fatcat:ypv4dku4jjaq7h2xaqhtsyiihq
Separation of speech from interfering sounds based on oscillatory correlation
1999
IEEE Transactions on Neural Networks
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In the oscillatory correlation framework, a stream is represented by a population of synchronized relaxation oscillators, each of which corresponds to an auditory feature, and different streams are represented ...
The core of the model is a two-layer oscillator network that performs stream segregation on the basis of oscillatory correlation. ...
Recently, Brown and Wang [10] gave an account of concurrent vowel separation based on oscillatory correlation. The oscillatory correlation theory is supported by neurobiological findings. ...
doi:10.1109/72.761727
pmid:18252568
fatcat:rrxycz2b65d4rfzik5fhg5zawa
Page 374 of Neural Computation Vol. 8, Issue 2
[page]
1996
Neural Computation
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Its possible application to scene analysis was discussed by von der Malsburg and Buhmann (1992). ...
Temporal segmentation can be implemented in oscillatory networks using two very different mechanisms. One is to have each segment os- cillate with a different frequency. ...
Object selection based on oscillatory correlation
1999
Neural Networks
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The limit cycle trajectory is shown with a bold curve, and its direction of motion is indicated by arrowheads. ...
As a special case, the selection network without local excitation gives rise to a new form of oscillatory WTA. ᭧ Fig. 2. Nullclines and trajectories of a single oscillator. ...
The work described here was supported in part by an ONR grant (N00014-93-1-0335), an NSF grant (IRI-9423312), and an ONR Young Investigator Award (N00014-96-1-0676). ...
doi:10.1016/s0893-6080(99)00028-3
pmid:12662669
fatcat:4yzh3n37obg23bzptmwvz4vjq4
Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators
2007
Third International Conference on Natural Computation (ICNC 2007) Vol V
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The oscillators representing each object in a given visual scene are synchronized to produce a chaotic trajectory. ...
The model can not only discriminate each object among others in a given visual scene, but also deliver the focus of attention to a salient object in an instant of time. ...
Acknowledgment This work is supported by the São Paulo State Research Foundation (FAPESP) and the Brazilian National Research Council (CNPq). ...
doi:10.1109/icnc.2007.811
dblp:conf/icnc/0001BQR07
fatcat:qmure6wnkrfevmsogkw6lani4u
Pattern Segmentation in Associative Memory
1990
Neural Computation
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Correlations are created naturally by the usual associative connections. In our simulations, temporal patterns take the form of oscillatory bursts of activity. ...
Segmention of patterns takes place in the temporal domain, components of one pattern becoming temporally correlated with each other and anticorrelated with the components of all other patterns. ...
Correlations are created naturally by the usual associative connections. In our simulations, temporal patterns take the form of oscillatory bursts of activity. ...
doi:10.1162/neco.1990.2.1.94
fatcat:rfasn3nu55e3zb332iakrsvqge
Image Segmentation Based on Oscillatory Correlation
1997
Neural Computation
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The network exhibits a natural capacity in segmenting images. The oscillatory dynamics leads to a computer algorithm, which is applied successfully to segmenting real graylevel images. ...
We show that the resulting oscillator network separates an image into several major regions, plus a background consisting of all noisy regions, and illustrate network properties by computer simulation. ...
DLW was supported in part by the ONR grant N00014-93-1-0335, the NSF grant IRI-9423312, and the ONR YIP Award N00014-96-1-0676. DT was supported in part by the NSF grant DMS-9423796. ...
doi:10.1162/neco.1997.9.4.805
pmid:9161023
fatcat:g2glewj2mzcfdfs26hiekhms2q
Neural Mechanisms of Visual Feature Binding Investigated with Microelectrodes and Models
1999
Visual Cognition
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Hence, object continuity would be represented by phase continuity. Besides feature binding, feature separation is necessary for scene segmentation. ...
A third temporal coding aspect is temporal segmentation by the short activation-inhibition cycles of fast oscillations or short transient stimulus-locked responses, which may prevent perceptual "smearing ...
Hence, object continuity would be represented by phase continuity. Besides feature binding, feature separation is necessary for scene segmentation. ...
doi:10.1080/135062899394975
fatcat:irap5j2adndztnojjwlqx57bpy
Motion segmentation based on motion/brightness integration and oscillatory correlation
2000
IEEE Transactions on Neural Networks
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The second stage performs segmentation based on local motion estimates. In the brightness pathway, the input scene is segmented into regions based on brightness distribution. ...
Inspired by the visual system, the motion pathway has two stages. The first stage estimates local motion at locations with reliable information. ...
We address these challenges by using an oscillatory neural network to perform motion-based segmentation by integrating motion and brightness cues. ...
doi:10.1109/72.857773
pmid:18249820
fatcat:uqqtdrkyunexrapii2fdzajjmu
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