MPEG-4 standard provides support for content-based interactivity, high compression, and/or universal accessibility and portability of audio and video content. Due to its content-based representation nature (except the simple profile used for wireless video communication) and flexible configuration structure, any MPEG-4 hardware implementation is likely to be very application specific. Therefore...

Neural activity and perception are both affected by sensory history. The work presented here explores the relationship between the physiological effects of adaptation and their perceptual consequences. Perception is modeled as arising from an encoder-decoder cascade, in which the encoder is defined by the probabilistic response of a population of neurons, and the decoder transforms this populat...

Most existing machine translation systems operate at the level of words, relying on explicit segmentation to extract tokens. We introduce a neural machine translation (NMT) model that maps a source character sequence to a target character sequence without any segmentation. We employ a character-level convolutional network with max-pooling at the encoder to reduce the length of source representa...

Stereoscopic video coding (SSVC) plays an important role in various 3D video applications. In SSVC, robust stereoscopic video transmission over error-prone networks is still a challenge problem to be solved. In this paper, we propose a joint encoder–decoder error control framework for SSVC, where error-resilient source coding, transmission network conditions, and error concealment scheme are jo...

The output signals of the rotary incremental encoder are used for motion sense discrimination, angular displacement and rotational speed measurement of the encoder shaft. The angular displacement can be measured with different resolutions. This paper presents an experimental system that enables the study of the rotary incremental encoder: working modes and methods for resolution improvement, di...

Consider the rate-distortion problem, in which a helper sends a common limited-rate message both to the encoder and decoder based on side information at its disposal. We characterize the region of achievable rates and distortions for this problem. We derive these regions explicitly for binary doubly symmetric sources with Hamming distortion, and for Gaussian sources with square error distortion...

INTRODUCTION Displacement measurement is an essential technique in the field of precision metrology and precision manufacturing. The linear encoder is the most popular displacement sensor for measurement of the position of a moving stage along the axis of motion. Many commercially available linear encoders, whose principles are based on interference and diffraction, can achieve nanometer-level ...

This paper presents the development of several models of a deep convolutional auto-encoder in the Caffe deep learning framework and their experimental evaluation on the example of MNIST dataset. We have created five models of a convolutional auto-encoder which differ architecturally by the presence or absence of pooling and unpooling layers in the auto-encoder’s encoder and decoder parts. Our r...

We investigate whether a neural, encoderdecoder translation system learns syntactic information on the source side as a by-product of training. We propose two methods to detect whether the encoder has learned local and global source syntax. A fine-grained analysis of the syntactic structure learned by the encoder reveals which kinds of syntax are learned and which are missing.