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The concept of perceptual integration of multiple depth cues is proposed for converting 2D videos to 3D videos. Several monocular depth cues have been explored to reconstruct 3D videos. We propose reliability-based promotion and fusion of depth cues for an automatic reconstruction of 3D videos in this demo by mimicking how human visual system does.
On-chip implementation of Hilbert-Huang transform (HHT) has great impact to analyze the non-linear and non-stationary biomedical signals on wearable or implantable sensors for the real-time applications. Empirical mode decomposition (EMD) is the key component for the HHT processor. In tradition, EMD is usually performed after the collection of a large window of signals, and the long latency may not...
Today's user demand for multimedia has moved into an anywhere anytime paradigm. The ubiquitous usage model creates lots of needs for embedded multimedia system design, and traditional module-wise design concept will not suffice. In this talk, the system design view of modern VLSI architectures for multimedia applications, including H.264, scalable video coding (SVC) and stereo/3D video coding, will...
In this paper, we propose an intelligent 3D online virtual conferencing system with a natural human-computer interactive mechanism. With 4 degree-of-freedom of gesture commands as the human-computer interface of the system, participants can change their positions and orientations in a virtual space to interact with others and observe the environment. A 3D tracking-based gesture recognition method...
A 5.877 TOPS/W Reconfigurable Smart-camera Stream Processor is implemented in 90nm CMOS technology. A reconfigurable hardware architecture with heterogeneous stream processing and subword-level parallelism is implemented to accelerate the vision processing for smart-camera applications. The area efficiency reaches 111.329 GOPS/mm2. The power efficiency and area efficiency are 4.5x to 33.0x and 3.8x...
On-chip implementation of Hilbert-Huang transform (HHT) has great impact to analyze the non-linear and non-stationary biomedical signals on wearable or implantable sensors for the real-time applications. Cubic spline interpolation (CSI) consumes the most computation in HHT, and is the key component for the HHT processor. In tradition, CSI in HHT is usually performed after the collection of a large...
As health care becomes popular, daily monitoring of health-status related parameters, including the heart rate (HR), is getting more and more valued. An easy, comfortable and robust solution is therefore an important issue. Phonocardiogram (PCG) is a physiological signal reflecting the cardiovascular status. It could be recorded by microphone-equipped on-hand devices, like the smartphone, even without...
In order to keep a healthy body it is very important to have balanced energy expenditure (EE). The proposed system utilized the phonocardiogram (PCG) and motion from the user to generate the heart rate. The heart rate has been deemed as a very reliable index to estimate the EE of human body. Efforts are put on developing our system to deal the situations when severe interference coupled into the system...
Epilepsy is one of the most common brain disorders in the world. The spontaneous seizure onset influences the daily life of epilepsy patients. The studies on feature extraction and feature classification from Electroencephalography(EEG) signal in seizure prediction methods have shown great improvement these years. However, the variation issue of EEG signal (being awake, being asleep, severity of epilepsy,...
Building models by mimicking the structures and functions of visual cortex has always been a major approach to implement a human-like intelligent visual system. Several feed-forward hierarchical models have been proposed and perform well on invariant feature extraction. However, less attention has been given to the biologically plausible feature matching model which mimics higher levels of the ventral...
Intensive home-care surveillance programs are associated with a marked decrease in the need for hospitalization. They can improve the functional statuses of elderly patients with severe congestive diseases. The GPU-based home-care surveillance system is effective and has a major impact on health expenditure than traditional surveillance equipments. In this work, we propose a spike sorting technique...
Owing to the diversity of projection surfaces, an effective mobile display system must be adaptive to the surface to avoid introducing a clipped scene. In this paper, we propose a smart mobile display system which automatically adapts to the location and motion of a surface. Firstly, an imperceptible structured light technique is adopted and continuous adaptation is accomplished. Secondly, a specifically...
The paper exploits a vision-based intelligent vehicle cruise control system from the application level to the architecture level. Firstly, design considerations of the system are addressed in both computing power and accuracy aspects. Secondly, we present an efficient knowledge-based front-vehicle tracking algorithm. The algorithm yields below 5% error rate that outperforms the state-of-the-arts....
Multiview video (MVV) can provide viewers a complete 3D perception by its multiple-viewpoint feature. In order to support smooth viewpoint switching, virtual view synthesis is required. However the ultra high computational complexity and the system memory bandwidth requirement make the real-time multiview applications difficult. For the quad full-HD (QFHD) specification, 31.5GByte/Sec is needed for...
Accurate spike sorting is important for neuroscientific and neuroprosthetic applications. The sorting of spikes depends on the features extracted from the neural waveforms, and a better sorting performance usually comes with a higher sampling rate (SR). However for long duration experiments on free-moving subjects, the miniaturized and wireless neural recording ICs are the current trend. The compromise...
This paper introduces a power estimation scheme and generated results of SoC (System-on-Chip) fabricated with different process nodes extending to very deep submicron technology. Different power modeling strategies are used to estimate power for analog and digital circuits. According to the analysis results, ultra low power analog components are key to successful biomedical SoC design if more advanced...
Successful proof-of-concept laboratory experiments on cortically-controlled brain computer interface motivate continued development for neural prosthetic microsystems (NPMs). One of the research directions is to realize realtime spike sorting processors (SSPs) on the NPM. The SSP detects the spikes, extracts the features, and then performs the classification algorithm in realtime in order to differentiate...
3DTV promises to become the mainstream of next-generation TV systems. High resolution 3DTV provides users with a vivid watching experience. Moreover, free-viewpoint view synthesis (FVVS) extends the common two-view stereo 3D vision into virtual reality by generating unlimited views from any desired view point. In the next-generation 3DTV systems, the set-top box (STB) SoC requires both a high-definition...
In this paper, we present an intelligent vision-based on-road preceding vehicle detection and tracking system based on computer vision techniques. Pre-processing video stabilization is adopted to improve system reliability and stability. High performance detection is achieved via the machine learning-based method. Our framework is favored for various automotive applications, which yields above 90%...
Loopy belief propagation (BP) is an effective solution for assigning labels to the nodes of a graphical model such as the Markov random field (MRF), but it requires high memory, bandwidth, and computational costs. Furthermore, the iterative, pixel-wise, and sequential operations of BP make it difficult to parallelize the computation. In this paper, we propose two techniques to address these issues...
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