The proceedings contain 14 papers. The topics discussed include: a model of angle selectivity in area V2 with local divisive normalization;maximizing neural responses leads to sensori-motor coordination of binocular v...
ISBN:
(纸本)9781424427710
The proceedings contain 14 papers. The topics discussed include: a model of angle selectivity in area V2 with local divisive normalization;maximizing neural responses leads to sensori-motor coordination of binocular vergence;cortical columns: building blocks for intelligent systems;character recognition with two spiking neural network models on multicore architectures;a car detection system based on hierarchical visual features;recurrent network-based face recognition using image sequences;3D volume extraction of densely packed cells in EM data stack by forward and backward graph cuts;a hybrid method for facial recognition systems;binary image registration using cellular simultaneous recurrent networks;quality-aware selection of quality factor and scaling parameters in JPEG image transcoding;and relevance tuning in content-based retrieval of structurally-modeled images using particle swarm optimization.
The proceedings contain 8 papers. The topics discussed include: efficient determination of spatial relations using composition tables and decision trees;smooth transition neighborhood graphs for 3D spatial relations;b...
ISBN:
(纸本)9781467359177
The proceedings contain 8 papers. The topics discussed include: efficient determination of spatial relations using composition tables and decision trees;smooth transition neighborhood graphs for 3D spatial relations;biomimetic target detection: modeling 2nd order correlation of OFF and ON channels;a novel algorithm for detecting dim point target in infrared images based on MRF;robust gesture detection and recognition using dynamic time warping and multi-class probability estimates;regularized high temporal resolution fish motion synthesis;using fuzzy rough feature selection for image retrieval system;and forward-backward minima controlled recursive averaging to speech enhancement.
The proceedings contain 20 papers. The topics discussed include: a 9/7 wavelet-based lossless data hiding;computational visual attention model capable of exploring similarity;extracting salient lines by visual attenti...
ISBN:
(纸本)9781424499151
The proceedings contain 20 papers. The topics discussed include: a 9/7 wavelet-based lossless data hiding;computational visual attention model capable of exploring similarity;extracting salient lines by visual attention for omnidirectional image classification;exploiting automatic image segmentation to human detection and depth estimation;local contrast stretch based tone mapping for high dynamic range images;environmental sound extraction and incremental learning approach for real time concepts identification;context-based image re-ranking for content-based image retrieval;block motion estimation based on search pattern and predictor;dynamic vision sensor camera based bare hand gesture recognition;multimodal fuzzy fusion system for semantic video indexing;new frame rate up-conversion based on foreground/background segmentation;and semantic concepts categorization based on pseudo-sentences representation.
The proceedings contain 34 papers. The topics discussed include: stereoscopic video description for human action recognition;cascade dictionary learning for action recognition;human action recognition using normalized...
ISBN:
(纸本)9781479945047
The proceedings contain 34 papers. The topics discussed include: stereoscopic video description for human action recognition;cascade dictionary learning for action recognition;human action recognition using normalized cone histogram features;fuzzy rules based indoor human action recognition using multi cameras;improving codebook generation for action recognition using a mixture of asymmetric Gaussians;endoscope image analysis method for evaluating the extent of early gastric cancer;fuzzy C-means clustering with spatially weighted information for medical image segmentation;improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM);and automatic tumor lesion detection and segmentation using histogram-based gravitational optimization algorithm.
Constructive understanding of computational principles of multimedia, signal and visual information processing, perception and cognition is one of the most fundamental challenges of contemporary science. Deeper insigh...
Constructive understanding of computational principles of multimedia, signal and visual information processing, perception and cognition is one of the most fundamental challenges of contemporary science. Deeper insight into such computationalintelligence helps to advance intelligent systems research to achieve robust performance. Implementing integrated principles in artificial systems may help us achieve better, faster and more efficient intelligent systems. The symposium will address theory and applications of non-traditional computationalintelligence approaches in multimedia, signal and visionprocessing.
This paper presents an efficient visual speech encoder for lip reading. While most recent lip reading studies have been based on the ResNet architecture and have achieved significant success, they are not sufficiently...
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This paper describes a multimodal tracking system to resolve occlusions in augmented reality applications. The first module of the proposed architecture is composed of a vision based system and allows identification a...
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ISBN:
(纸本)9781424427710
This paper describes a multimodal tracking system to resolve occlusions in augmented reality applications. The first module of the proposed architecture is composed of a vision based system and allows identification and tracking of visible targets. When targets are partially occluded by scene elements, a second module relieves the vision based module and tracks feature points using a robust algorithm. Finally, a multi-sensors tracking approach is implemented to handle total occlusion of targets and maintains registration even if all markers are not visible. Experimental results and many evaluations have been performed to show the efficiency and robustness of the proposed multimodal approach of tracking and occlusion handling in augmented reality.
In this paper a dim point target detection algorithm based on Markov Random Field (MRF) is proposed. Firstly, the Min-Difference Filter (MDF) is applied to suppress the background in each single frame. Then an adaptiv...
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ISBN:
(纸本)9781467359177
In this paper a dim point target detection algorithm based on Markov Random Field (MRF) is proposed. Firstly, the Min-Difference Filter (MDF) is applied to suppress the background in each single frame. Then an adaptive segmentation process based on 3D MRF is used to detect targets in image sequence. Unlike the traditional 3D MRF, the spatial MRF is modified and a Point-to-Region mapping according to the specific situation is proposed. Experiment results show that the proposed algorithm allows to detect IR point targets in complex backgrounds.
This paper tackles the fish motion synthesis problem with the aim to increase the temporal resolution by generating a high frame rate video from a given video captured at a lower frame rate. The proposed approach reco...
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ISBN:
(纸本)9781467359177
This paper tackles the fish motion synthesis problem with the aim to increase the temporal resolution by generating a high frame rate video from a given video captured at a lower frame rate. The proposed approach reconstructs the virtual frames via estimating motion-vector fields that represent the correspondences between consecutive frames. To be more specific, the proposed approach utilizes two regularization functions: (i) an intra regularization function that is proposed to impose a local smoothness constraint on the estimated motion vector fields;and (ii) an inter regularization function that considers both intensity consistency and kinematic consistency between the reconstructed frame and its neighboring frames. Real-world fish motion video dataset is used to demonstrate the superior performance of the proposed approach in high temporal resolution fish motion synthesis, as well as its application in fish motion analysis.
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