Epidemic policy-making, as a special data-mining task, is proposed to predict the proper intensities of certain epidemic prevention and control policies based on the spatial-temporal data related to regional epidemics. Previous studies are ...

In the automatic reassembly of fragments acquired using laser scanners to reconstruct objects, a crucial step is the matching of fractured surfaces. In this paper, we propose a novel local descriptor that uses the Gaussian Mixture Model (GMM) to ...${}_{\mathrm{}}$

Stereo matching is a key technology for many autonomous driving and robotics applications. Recently, methods based on Convolutional Neural Network have achieved huge progress. However, it is still difficult to find accurate matching points in ...

In logistics transportation, the electric vehicle routing problem (EVRP) is researched widely in order to save vehicle power expenditure, reduce transportation costs, and improve service quality. The power expenditure model and routing algorithm ...

Smoothing out image details while preserving the salient edges is of significance to the field of computational photography. In this paper, we propose a novel optimization model for edge-aware image smoothing, which consists of a regularization ...${}_{\mathrm{}}$

High spatial resolution is one of the most important factors in increasing image quality, but it increases the amount of storage memory. On the other hand, in the field of face image compression research, one of the existing challenges is ...

For valuable areas of a face image (such as the eyes, nose, and mouth) that contain detailed facial information, a higher bit rate may be assigned. If we can identify areas in an image that are of low importance, we can remove redundant ...

Model-agnostic meta-learning (MAML) highlights the ability to quickly adapt to new tasks with only a small amount of labeled training data among many few-shot learning algorithms. However, the computational complexity is high, because the MAML ...

There are many techniques for conducting image analysis and pattern recognition. This papers explores a way to optimize one of these techniques—image segmentation—with the help of a novel hybrid optimization algorithm. Image segmentation is mostly ...

In this paper we consider the problem of allocating personal TV advertisements to viewers. The problem's input consists of ad requests and viewers. Each ad is associated with a length, a payment, a requested number of viewers, a requested number of ...

The development of hypermedia/multimedia systems requires the implementation of an element, usually known as formatter, which is in charge of receiving the specification of a document and controlling its presentation. Adjustments over the duration ...

We present a surveillance system, comprising wide field-of-view (FOV) passive cameras and pan/tilt/zoom (PTZ) active cameras, which automatically captures high-resolution videos of pedestrians as they move through a designated area. A wide-FOV static ...

We introduce a novel approach for blind and semi-blind watermarking and apply it to images. We derive randomized robust semi-global statistics of images in a suitable transform domain (wavelets in case of images) and quantize them in order to embed the ...

Slow access to disk-based multimedia data is a major limiting factor in the performance of modern multimedia Web servers connected over broadband networks. The I/O bottleneck becomes even more pronounced for currently evolving systems handling ...

Long battery life and high performance multimedia decoding are competing design goals for portable appliances. For a target level of QoS, the achievable battery life can be increased by dynamically adjusting the supply voltage throughout execution. In ...

The popularity of peer-to-peer multimedia file sharing applications such as Gnutella and Napster has created a flurry of recent research activity into peer-to-peer architectures. We believe that the proper evaluation of a peer-to-peer system must take ...

Handling a tertiary storage device, such as an optical disk library, in the framework of a disk-based stream service model, requires a sophisticated streaming model for the server, and it should consider the device-specific performance characteristics ...

We provide a formal framework for studying broadcasting schemes and design a family of schemes for broadcasting popular videos, the greedy disk-conserving broadcasting (GDB) family. We analyze the resource requirements for GDB, i.e.. the number of ...

Periodic broadcast and scheduled multicast have been shown to be very effective in reducing the demand on server bandwidth. While periodic broadcast is better for popular videos, scheduled multicast is more suitable for less popular ones. Work has also ...

The paper investigates efficient bandwidth allocation schemes for the transmission of MPEG-2 video traffic on high-speed networks. To this end we performed an extensive analysis of the traffic generated by an MPEG- 2 encoder. Specifically, we encoded "...