This paper proposes two optimization methods based on dataflow representations and dynamic compilation that enhance flexibility and performance of multimedia applications. These optimization methods are intended to be used in an adaptive decoding context, or, in other terms, where decoders have the ability to adapt their decoding processes according to a bitstream. This adaptation is made possi...

Decoding algorithms for syntax based machine translation suffer from high computational complexity, a consequence of intersecting a language model with a context free grammar. Left-to-right decoding, which generates the target string in order, can improve decoding efficiency by simplifying the language model evaluation. This paper presents a novel left to right decoding algorithm for tree-to-st...

In this work, channel decoding is considered as a promising way for improvement of cryptographic functions. Use of MAC/H-MAC values and digital signatures is analyzed in a context of code concatenation, together with convolutional codes using MAP decoding algorithm. Soft Input Decryption method, which uses L-values from channel decoder, presents an efficient method for integrating cryptography ...

of the Dissertation Preference Grammars and Decoding Algorithms for Probabilistic Synchronous Context Free Grammar Based Translation.

The design and implementation of a hardware accelerator dedicated to Binary Arithmetic Decoding Engine (BADE) is presented. This is the main module of the Context-Adaptive Binary Arithmetic Decoder (CABAD), as used in the H.264/AVC on-chip video decoders. We propose and implement a new approach for accelerating the decoding hardware of the significance map by providing the correct context for t...

Recent improvements are presented for phonetic decoding of continuous-speech from ultrasound and optical observations of the tongue and lips in a silent speech interface application. In a new approach to this critical step, the visual streams are modeled by context-dependent multi-stream Hidden Markov Models (CD-MSHMM). Results are compared to a baseline system using context-independent modelin...

H.264/AVC is adopted as a next generation moving picture compression standard. Context-based Adaptive Binary Arithmetic Coding (CABAC) is the major entropy coding algorithm employed in H.264/AVC. Although the performance gain of H.264/AVC is mostly resulted from CABAC, it is difficult to implement a high-throughput decoder due to its decoding complexity. Although CABAC excludes a multiplication...

Undetected errors are important for linear codes, which are the only type of errors after hard decision and automatic-repeat-request (ARQ), but do not receive much attention on their correction. In concatenated channel coding, suboptimal source coding and joint source-channel coding, constrains among successive codewords may be utilized to improve decoding performance. In this paper, list decod...

Hierarchical phrase-based machine translation can capture global reordering with synchronous context-free grammar, but has little ability to evaluate the correctness of word orderings during decoding. We propose a method to integrate word-based reordering model into hierarchical phrasebased machine translation to overcome this weakness. Our approach extends the synchronous context-free grammar ...