We present a general rate-distortion based scheduling framework that can accommodate cases where multiple encoded versions for the same video are available for transmission. Previous work on video scheduling is mostly...
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ISBN:
(纸本)0819456586
We present a general rate-distortion based scheduling framework that can accommodate cases where multiple encoded versions for the same video are available for transmission. Previous work on video scheduling is mostly focused on those encoding techniques, such as layered coding, which generate only one set of dependent packets. However, it is sometimes preferred to have a codec that produces redundant video data, where multiple different decodingpaths are possible. Examples of these scenarios are multiple description layered coding and multiple independently encoded video streams. A new source model called Directed Acyclic HyperGraph (DAHG) is introduced to describe the relationship between different video data units with multiple decoding paths. Based on this model, we propose two low-complexity scheduling algorithms: the greedy algorithm and the M-T algorithm. Experiments are made to compare the performance of these algorithms. It is shown that, in the case of multiple decoding paths, the M-T algorithm outperforms the greedy algorithm by taking into account some of the transmission possibilities available in the near future before making a decision.
In this paper, a morpheme-based weighting and its integration method are proposed as a smoothing method to alleviate the data sparseness in Chinese-Mongolian statistical machine translation (SMT). Besides, we present ...
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In this paper, a morpheme-based weighting and its integration method are proposed as a smoothing method to alleviate the data sparseness in Chinese-Mongolian statistical machine translation (SMT). Besides, we present source-side reordering as the pre-processing model to verify the extensibility of our method. Experi-mental results show that the morpheme-based weighting can substantially improve the translation quality.
This paper extends rate-distortion optimized streaming techniques to operate on a general class of coding formats that explicitly support redundancy in their coding structure. Examples include multiple description lay...
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This paper extends rate-distortion optimized streaming techniques to operate on a general class of coding formats that explicitly support redundancy in their coding structure. Examples include multiple description layered coding (MDLC) and multiple independently encoded versions of a video source. Such source codecs usually produce multiple decoding paths, while previous work on video streaming has mostly focused on those encoding techniques that only generate a single decoding path. A new source model called Directed Acyclic HyperGraph is introduced to describe the dependency and redundancy relationship between different video data units with multiple decoding paths. Based on this model, we then propose two rate-distortion based packet scheduling algorithms, i.e., Lagrangian optimization and a greedy algorithm, to dynamically adjust the system's real-time redundancy to match the channel behavior. The proposed streaming system introduces two types of redundancies, namely, source redundancy and transport redundancy. This paper presents a detailed performance analysis of the individual benefits for error robustness provided by these redundancies and their interplay. Experimental results show that our proposed system with both redundancies achieves the best end-to-end performance on real-time video communication over a wide range of network scenarios.
The data sparsity and the morphological difference between Chinese and Mongolian are the main problems in Mongolian-Chinese statistical machine translation (SMT). In this paper, we propose a novel method to construct ...
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ISBN:
(纸本)9781467395960
The data sparsity and the morphological difference between Chinese and Mongolian are the main problems in Mongolian-Chinese statistical machine translation (SMT). In this paper, we propose a novel method to construct morpheme-based translation model by using Mongolian morpheme as the pivot language. First, we train Mongolian-Morpheme SMT and Morpheme-Chinese SMT system, achieving a balance in the morphology of the language pair. Then we construct a new phrase table via these two systems to enrich translation knowledge without any additional bilingual resources, which is suitable for low-resource language pairs. Finally we incorporate this phrase table to our Mongolian-Chinese SMT system in two ways: by using multiple decoding paths and by the combination of two phrase tables. Experimental results demonstrate the effectiveness of our method with a maximum improvement of 1.37 BLEU points increment over baseline.
The data sparsity and the morphological difference between Chinese and Mongolian are the main problems in Mongolian-Chinese statistical machine translation(SMT). In this paper, we propose a novel method to construct m...
详细信息
The data sparsity and the morphological difference between Chinese and Mongolian are the main problems in Mongolian-Chinese statistical machine translation(SMT). In this paper, we propose a novel method to construct morpheme-based translation model by using Mongolian morpheme as the pivot language. First, we train Mongolian-Morpheme SMT and Morpheme-Chinese SMT system, achieving a balance in the morphology of the language pair. Then we construct a new phrase table via these two systems to enrich translation knowledge without any additional bilingual resources, which is suitable for lowresource language pairs. Finally we incorporate this phrase table to our Mongolian-Chinese SMT system in two ways:by using multiple decoding paths and by the combination of two phrase tables. Experimental results demonstrate the effectiveness of our method with a maximum improvement of 1.37 BLEU points increment over baseline.
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