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Article
Improved image classification with 4D light-field and interleaved convolutional neural network
Image classification is a well-studied problem. However, there remains challenges for some special categories of images. This paper proposes a new deep convolutional neural network to improve image classificat...
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Chapter and Conference Paper
High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention
Light field (LF) images provide rich information and are suitable for high-level computer vision applications. To acquire capabilities of modeling the correlated information of LF, most of the previous method...
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Chapter and Conference Paper
Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues
Densely-sampled light fields (LFs) are beneficial to many applications such as depth inference and post-capture refocusing. However, it is costly and challenging to capture them. In this paper, we propose a le...
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Chapter and Conference Paper
Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images
Diagnosis from histopathological images is the gold standard in diagnosing breast cancer. This paper investigates using transfer learning with convolutional neural networks to automatically diagnose breast can...
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Chapter and Conference Paper
Image Based Video Querying Algorithm Using 3-Level Haar Wavelet Transform Features
Surveillance cameras and smartphone cameras produce huge amount of video data in our daily life. Effective utilization of huge video data is emerging as a new big problem in the ubiquitous video intelligent s...
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Chapter and Conference Paper
Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence
This paper proposed a novel algorithm which named Randomized Particle Swarm Optimization (RPSO) to optimize HMM for human activity prediction. The experiments designed in this paper are the classification of h...
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Chapter and Conference Paper
Layer Removal for Transfer Learning with Deep Convolutional Neural Networks
It is usually difficult to find datasets of sufficient size to train Deep Convolutional Neural Networks (DCNNs) from scratch. In practice, a neural network is often pre-trained on a very large source dataset. ...
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Chapter and Conference Paper
Multi-swarm Particle Grid Optimization for Object Tracking
In recent years, one of the popular swarm intelligence algorithm Particle Swarm Optimization has demonstrated to have efficient and accurate outcomes for tracking different object movement. But there are still...
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Chapter and Conference Paper
Hyper-parameter Optimization of Sticky HDP-HMM Through an Enhanced Particle Swarm Optimization
Faced with the problem of uncertainties in object trajectory and pattern recognition in terms of the non-parametric Bayesian approach, we have derived that 2 major methods of optimizing hierarchical Dirichlet ...
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Chapter and Conference Paper
Hybrid Gravitational Search Algorithm with Swarm Intelligence for Object Tracking
This paper proposes a new approach to object tracking using the Hybrid Gravitational Search Algorithm (HGSA). HGSA introduces the Gravitational Search Algorithm (GSA) to the field of object tracking by incorp...
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Chapter and Conference Paper
A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking
This paper proposes a novel Weight Adjusted Particle Swarm Optimization (WAPSO) to overcome the occlusion problem and computational cost in multiple object tracking. To this end, a new update strategy of inert...
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Chapter and Conference Paper
A Novel Optimized Watermark Embedding Scheme for Digital Images
Many Scientists in Image Processing try to find an efficient way for digital multimedia protection. Although standards and criteria are still in develo**, the watermarking which performs mark picture embeddi...
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Chapter and Conference Paper
Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine
This paper proposes an effective technique to classify regions of interests (ROIs) of digitized mammograms into mass and normal breast tissue regions by using particle swarm optimization (PSO) based feature se...
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Chapter and Conference Paper
Simplified Swarm Optimization for Life Log Data Mining
This paper proposes a new evolutionary algorithm for life log data mining. The proposed algorithm is based on the particle swarm optimization. The proposed algorithm focuses on three goals such as size reducti...
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Chapter and Conference Paper
Implementation of a New H.264 Video Watermarking Algorithm with Usability Test
With the proliferation of digital multimedia content, issues of copyright protection have become more important because the copying of digital video does not result in the decrease in quality that occurs when ...
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Chapter and Conference Paper
An Improved H.264 Error Concealment Algorithm with User Feedback Design
This paper proposes a new Error Concealment (EC) method for the H.264/AVC [1] video coding standard using both spatial and temporal information for intra-frame concealment. Five error concealing modes are offe...
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Chapter and Conference Paper
A Performance Comparison of High Capacity Digital Watermarking Systems
Material in music, film, book and software publishing industries can be easily duplicated on a large scale by personal computers, and unauthorised or illegal copies have become a serious problem in recent year...
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Chapter and Conference Paper
Implementation of Image Steganographic System Using Wavelet Zerotree
With the development of mobile communication and internet technologies, digital media can be transmitted conveniently over the network. In this process the algorithms used to protect secret messages during tra...
