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The success of fine-grained visual categorization (FGVC) extremely relies on the modeling of appearance and interactions of various semantic parts. This makes FGVC very challenging because: (i) part annotation and detection require expert guidance and are very expensive; (ii) parts are of different sizes; and (iii) the part interactions are complex and of higher-order. To address these issues, we...
To compress large datasets of high-dimensional descriptors, modern quantization schemes learn multiple codebooks and then represent individual descriptors as combinations of codewords. Once the codebooks are learned, these schemes encode descriptors independently. In contrast to that, we present a new coding scheme that arranges dataset descriptors into a set of arborescence graphs, and then encodes...
Scientific simulations typically store only a small fraction of computed timesteps due to storage and I/O bandwidth limitations. Previous work has demonstrated the compressibility of floating-point volume data, but such compression often comes with a tradeoff between computational complexity and the achievable compression ratio. This work demonstrates the use of special-purpose video encoding hardware...
Chipless radio frequency identification provides a huge potential for applications with extreme environmental conditions. The low data capacities and the printability on film or paper, prevent the use of state-of-the-art realizations in scenarios with extreme temperature. Hence, we introduce a novel chipless RFID tag that overcomes these problems. Due to a polarimetric and image base data encoding,...
In this paper we propose a scheme that unconditional secure transmission is used to implement information reconciliation in key generation. Unconditional secure transmission achieved by associating MIMO beamforming with security code can be safe and reliable. Theoretically, the reconciliation and privacy amplification phase can take advantage of the unconditional communication security to reconciling...
In this paper, a genetic algorithm based converter system design procedure is presented with the feature of speed and universal. This method can better pack a high power density power converter.
Encoding spatio-temporally varying textures is challenging for standardised video encoders, with significantly more bits required for textured blocks compared to non-textured blocks. It is therefore beneficial to understand video textures in terms of both their spatio-temporal characteristics and their encoding statistics in order to optimize coding modes and performance. To this end, we examine the...
Virtual reality (VR) applications target high-quality and zero-latency scene navigation to provide users with a full-immersion sensation within a scene. From a network perspective, this requires transmission of the omnidirectional content in its entirety, at a high resolution, which is not always feasible in bandwidth-limited networks. In this work, we propose an optimal transmission strategy for...
Omnidirectional imaging, also known as 360° and spherical imaging, records all 360° of a scene from a specific spatial position, thus offering the user the capability to enjoy three rotational degrees of freedom (3-DoF). To offer a good quality of experience, omnidirectional imaging requires very high bitrates as high spatial resolution are a must and, ideally, also high frame rates. Due to the lack...
Virtual reality applications make use of 360-degree panoramic or omnidirectional video with high resolution and high frame rate in order to create the immersive experience to the user. The user views only a portion of the captured 360-degree scene at each time instant, hence streaming the whole omnidirectional video in highest quality is not efficient. In order to alleviate the problem of bandwidth...
Virtual view synthesis is a key component of multi-view imaging systems that enable visual immersion environments for emerging applications, e.g., virtual reality and 360-degree video. Using a small collection of captured reference view-points, this technique reconstructs any view of a remote scene of interest navigated by a user, to enhance the perceived immersion experience. We carry out a convexity...
With the bottom-line goal of increasing the throughput of a GPU-accelerated JPEG 2000 encoder, this paper evaluates whether the post-compression rate control and packetization routines should be carried out on the CPU or on the GPU. Three co-processing models that differ in how the workload is split among the CPU and GPU are introduced. Both routines are discussed and algorithms for executing them...
Although there has been increasing demand for more reliable web applications, JavaScript bugs abound in web applications. In response to this issue, researchers have proposed automated fault detection tools, which statically analyze the web application code to find bugs. While useful, these tools either only target a limited set of bugs based on predefined rules, or they do not detect bugs caused...
Testing of Android apps is particularly challenging due to the fragmentation of the Android ecosystem in terms of both devices and operating system versions. Developers must in fact ensure not only that their apps behave as expected, but also that the apps' behavior is consistent across platforms. To support this task, we propose DiffDroid, a new technique that helps developers automatically find...
Polar codes are a family of capacity-achieving error-correcting codes, and they have been selected as part of the next generation wireless communication standard. Each polar code bit-channel is assigned a reliability value, used to determine which bits transmit information and which parity. Relative reliabilities need to be known by both encoders and decoders: in case of multi-mode systems, where...
The paper is focused on use of Pulse Coupled Neural Network (PCNN) in the image steganography based on the research in the field of invariant image recognition. In general, steganography deals with data concealing in the cover mediums which can be freely accessible or transmitted by various communication channels without any restriction. A suitable position of hidden message is crucial for a successful...
This paper presents an energy-efficient solution to overcome packet loss in Wireless Sensor Networks (WSNs) by adding seed-based Random Linear Network Coding to MQTT for Sensor Networks (MQTT-SN). Whereas most sensors integrated in common WSN devices consume little energy, using the radio is costly. To increase battery lifetime, devices try to minimize their radio uptime, while still satisfy timeliness...
We propose a gray coding method for deep neural network (DNN) based decoder. With multiple resources considered together, DNN can be used to decode corrupted signals. In deep learning training, stochastic gradient descent (SGD) algorithm is used, which means that the cost function must be differentiable. Then, allocating the discrete bits for each symbol is difficult. To solve this problem, the basic...
In the last few years, data compression has become essential for both storage and transmission especially in the biomedical domain. In this paper, we propose a new technique for the electrocardiogram data compression. It is based on the singular value decomposition and a new adaptive vector quantization. In the proposed method, the codebook is generated adaptively at each quantization stage. The result...
Fault tolerance is a major issue for all storage service providers. Currently, the storage service providers make use of data replication as a method to ensure fault tolerance. In the big data era, relying on data replication for fault tolerance reduces the storage efficiency. Most of the modern applications make use of erasure code based storage systems as an alternative to the data replication....
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