This paper presents a data hiding technique based on a new compression enhancement called Film Grain Technology. Film grain is a midfrequency noise-like pattern naturally appearing in imagery captured on film. The Film Grain Technology is a method for modeling and removing the film grain, thus enhancing the compression efficiency, and then using the model parameters to create synthetic film gra...

We propose a low-complexity method approximating a-posteriori probability calculation for high-dimensional multipleantenna systems. This sub-optimal method can be used as a component of an iterative decoder for space-time channels. The proposed method out-performs sphere-decoder based approaches, yet requires lower complexity.

In this paper we describe Travatar, a forest-to-string machine translation (MT) engine based on tree transducers. It provides an open-source C++ implementation for the entire forest-to-string MT pipeline, including rule extraction, tuning, decoding, and evaluation. There are a number of options for model training, and tuning includes advanced options such as hypergraph MERT, and training of spa...

This paper describes a new framework based on one-pass and decision tree based class-triphone acoustic modeling for Mandarin LVCSR. Compared with the multi-pass decoder, it should be more knowledgeable and efficient as all sources are used at the same time when the decoder could be well organized and optimized. We give a detail about the organization of our one-pass decoder and how to handle th...

This paper describes a novel packet loss concealment (PLC) algorithm for Bluetooth CVSD codec by updating decoder states efficiently through state-copying. In the proposed method, the decoder states are stored in buffers and then selected based on the estimated pitch period of the decoded signal. The selected states are used to reset the decoder states when the packet is lost or corrupted. Obje...

A novel and efficient neural decoder algorithm is proposed. The proposed decoder is based on the neural Belief Propagation algorithm and the Automorphism Group. By combining neural belief propagation with permutations from the Automorphism Group we achieve near maximum likelihood performance for High Density Parity Check codes. Moreover, the proposed decoder significantly improves the decoding ...

In video communications over error introducing channels, error concealment techniques are widely applied in video decoder for good subjective images output. However, a damaged MB could be concealed only after it is detected as erroneous. Because of the poor performance of the traditional syntax based error detection schemes, the error concealments thereafter show bad results. Our previous work ...

In this paper, we propose a deep learning-based vehicle trajectory prediction technique which can generate the future trajectory sequence of the surrounding vehicles in real time. We employ the encoder-decoder architecture which analyzes the pattern underlying in the past trajectory using the long short term memory (LSTM)-based encoder and generates the future trajectory sequence using the LSTM...

In this paper, a wave decoder based on the general re-entrant network for continuous speech recognition is described. The decoder design is based on the concept of self-adjusting decoding graph in which the decoding network is expanded and released frame-synchronously. The fast network expansion and release are made possible by utilizing a novel dynamic network sca olding layer. The self-adjust...

We consider the problem of compressing memoryless binary data with or without side information at the decoder. We review the parityand the syndrome-based approaches and discuss their theoretical limits, assuming that there exists a virtual binary symmetric channel between the source and the side information, and that the source is not necessarily uniformly distributed. We take a factor-graph-ba...