The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Surveillance visual systems play an important role in modern life, especially in the Internet of Things (IoTs) era. However, the limitation of bandwidth, energy resources and the heterogeneity of devices, networks and environments have been asking for a more powerful video coding solution, which provides not only the high compression efficiency but also the flexible scalability capability. In this...
With the rapid incensement of personal vehicles, urban traffics congestion is now a prominent problem in many major cities in China. Electronic Toll Collection (ETC) is an efficient solution for traffic jaw problem. This paper introduces an embedded system designed for Dedicated Short Range Communications (DSRC) standard based ETC system of China. In this system, a STM8L151G micro controller was used...
LDPC codes are a family of error correcting codes used in most modern digital communication standards even in future 3GPP 5G standard. Thanks to their high processing power and their parallelization capabilities, prevailing multi-core and many-core devices facilitate real-time implementations of digital communication systems, which were previously implemented on dedicated hardware targets. Through...
In this paper, we propose a systematic design approach of polar codes for multicolor visible light communication (VLC). Owing to the mixed ratio of multicolor light intensities and the interference between different colors, the channel polarization over a multicolor VLC system is markedly different from that over a uniform channel. Our scheme quantifies these different color channels and constructs...
The recently developed variational autoencoders (VAEs) have proved to be an effective confluence of the rich representational power of neural networks with Bayesian methods. However, most work on VAEs use a rather simple prior over the latent variables such as standard normal distribution, thereby restricting its applications to relatively simple phenomena. In this work, we propose hierarchical non-parametric...
This paper is on active learning where the goal is to reduce the data annotation burden by interacting with a (human) oracle during training. Standard active learning methods ask the oracle to annotate data samples. Instead, we take a profoundly different approach: we ask for annotations of the decision boundary. We achieve this using a deep generative model to create novel instances along a 1d line...
The demand for more and more efficient management of power systems is causing BCD technologies to move forward in the integration of additional digital functions, and the use of microcontrollers in products has become a common practice. In this perspective, the introduction of an embedded nonvolatile memory (eNVM) to store the microcontroller code has become important to enable software customization...
The latest extended-coverage (EC-GSM-IoT) and high-throughput (EGPRS2A) enhancements make GSM competitive to LTE-based cIoT standards such as NB-IoT with the advantage of global coverage today. This work introduces the first fully-integrated RF-SoC supporting the complete GSM standard family ranging from EC-GSM-IoT through EGPRS2A. The RF-SoC achieves −121.7 dBm receiver sensitivity and peak data...
Nowadays, QR (quick-response) codes have become part of our daily life. In many applications, QR codes are posted (i.e. pasted or printed) on cylinders. Then, the QR image as captured by a camera would be distorted. In this paper, we try to tackle the decoding of QR codes in such a situation. It is based on perspective projection (PP), which is specified by a camera matrix (cM), with the assistance...
With the growing development of video applications and services for mobile devices, saving energy consumption when managing video is becoming a more and more important issue. The challenge is then to deliver video with high quality while reducing the energy consumption. In this paper, we investigate the relationship between subjective video quality and energy consumption in an HEVC decoder. By reducing...
Recent advances in capturing and display technologies, as well as the proliferation of platforms to share images on the Internet, will further increase the bandwidth and storage space required by image coding based applications. To reduce the image coding rate, some techniques taking into account the properties of the human visual system can be used. In this context, this paper proposes an inpainting...
In this paper, the iterative learning control problem using uniform quantizer with encoding and decoding scheme is considered, in which the system output is transformed and encoded firstly, and then transmitted back to the controller and decoded for input updating. Zero-error convergence of the output to the desired reference is realized by utilizing this updating scheme. The results are extended...
In this paper, we studied the irregular row weight problem of DVB-S2 LDPC short frame. This problem will cause the failure of decoding. Based on a special structure of check matrix address table, we have achieved a simple and common solution to the problem.
Training convolutional networks (CNNs) that fit on a single GPU with minibatch stochastic gradient descent has become effective in practice. However, there is still no effective method for training large networks that do not fit in the memory of a few GPU cards, or for parallelizing CNN training. In this work we show that a simple hard mixture of experts model can be efficiently trained to good effect...
Colorization is an ambiguous problem, with multiple viable colorizations for a single grey-level image. However, previous methods only produce the single most probable colorization. Our goal is to model the diversity intrinsic to the problem of colorization and produce multiple colorizations that display long-scale spatial co-ordination. We learn a low dimensional embedding of color fields using a...
Image captioning often requires a large set of training image-sentence pairs. In practice, however, acquiring sufficient training pairs is always expensive, making the recent captioning models limited in their ability to describe objects outside of training corpora (i.e., novel objects). In this paper, we present Long Short-Term Memory with Copying Mechanism (LSTM-C) — a new architecture...
The fast growth of surveillance video big data presents great challenges to the video coding technology. Most existing video coding techniques target for visual quality optimization, while the ultimate utility of surveillance videos mainly lies in intelligent analyses, e.g., pedestrian detection and vehicle tracking. In view of this, we aim at proposing an efficient, standard-compatible and simultaneously...
Recent advances in video understanding are enabling incredible developments in video search, summarization, automatic captioning and human computer interaction. Attention mechanisms are a powerful way to steer focus onto different sections of the video. Existing mechanisms are driven by prior training probabilities and require input instances of identical temporal duration. We introduce an intuitive...
Spatially coupled codes have been shown to achieve the capacity for a large class of channels universally. Many variants of such codes have been introduced to date. We discuss a further such variant that is particularly simple and is determined by a very small number of parameters. More precisely, we consider and ensemble of time-invariant low-density parity-check convolutional codes with very large...
This paper discusses the contemporary problem of providing multiple-access (MAC) to a massive number of uncoordinated users. First, we define a random-access code for Ka-user Gaussian MAC to be a collection of norm-constrained vectors such that the noisy sum of any Ka of them can be decoded with a given (suitably defined) probability of error. An achievability bound for such codes is proposed and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.