2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)最新文献_第2页

Loop detection in robotic navigation using MPEG CDVS 基于MPEG cddvs的机器人导航环路检测

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340871

P. P. B. D. Gusmão, Stefano Rosa, E. Magli, S. Lepsøy, Gianluca Francini

引用次数: 2

Region-adaptive quantisation for prevention of contouring in coded video 防止编码视频轮廓的区域自适应量化

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340867

André Seixas Dias, M. Mrak

引用次数: 1

Multi-pitch estimation based on sparse representation with pre-screened dictionary 基于预筛选字典稀疏表示的多音高估计

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340835

Lufei Gao, Tan Lee

{"title":"Multi-pitch estimation based on sparse representation with pre-screened dictionary","authors":"Lufei Gao, Tan Lee","doi":"10.1109/MMSP.2015.7340835","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340835","url":null,"abstract":"This paper presents a study on frame-level multi-pitch estimation (MPE) for polyphonic piano music based on sparse representation approach. In this approach, a multi-pitch input spectrum is represented by a sparse linear combination of a large number of spectrum exemplars in a given dictionary. By estimating the sparse weight vector and identifying its non-zero elements, a set of possible pitch candidates can be found. This study is focused mainly on the construction and optimization of the exemplar dictionary. A complete dictionary is first built from single-note piano music. We propose to perform prescreening on the dictionary by which the exemplars of the notes belonging to certain octaves and chromas are excluded during the subsequent estimation. Experimental results show that the pre-screening process not only helps in reducing the computational complexity, but also leads to more accurate pitch estimation. On the formulation of sparse estimation problem, we introduce a probabilistic assumption on the estimation error, such that the estimation is converted into a constrained convex quadratic programming problem. We also propose to use spectral combination as a new scheme of pitch determination from the estimated sparse weights.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128525073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Power efficient mobile video streaming using HTTP/2 server push 使用HTTP/2服务器推送的高效移动视频流

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340877

Sheng Wei, Viswanathan Swaminathan, Mengbai Xiao

引用次数: 31

Vector representation of emotion flow for popular music 流行音乐情感流的矢量表示

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340797

Chia-Hao Chung, Homer H. Chen

引用次数: 1

SSIM-inspired two-pass rate control for High Efficiency Video Coding 基于sim卡的高效视频编码双通过率控制

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340805

Shiqi Wang, A. Rehman, Kai Zeng, Zhou Wang

引用次数: 12

Automatic liver segmentation from CT images using latent semantic indexing 基于潜在语义索引的CT图像肝脏自动分割

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340801

Chun-Yao Hsieh, Shyi-Chyi Cheng, Chin-Chun Chang, Chin-Lang Lin

{"title":"Automatic liver segmentation from CT images using latent semantic indexing","authors":"Chun-Yao Hsieh, Shyi-Chyi Cheng, Chin-Chun Chang, Chin-Lang Lin","doi":"10.1109/MMSP.2015.7340801","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340801","url":null,"abstract":"In this paper, we present an indexing structure of data-driven cuboid patterns to speed up the process of liver detection and segmentation from computed tomography (CT) scans using the cube-based generalized Hough transform (CGHT). Most existing approaches to automatic liver segmentation from CT scans use a statistical shape model (SSM) integrated with a searching algorithm to recover the deformation. However, establishing the correspondences among landmark points of training shapes for the construction of the average shape of SSM remains as a challenge due to the high variation of liver shapes in CT scans. The proposed method is a fully automatic segmentation method that combines four steps. Firstly, a test CT volume is partitioned into multiple non-overlapped sub-volumes with each of them consisting of variable numbers of consecutive slices. Secondly, we locate the cube-based liver shapes in all sub-volumes via Hough voting and dynamic programming. Thirdly, we construct the basic 3D model through a level-set framework for liver shape segmentation. Finally, to introduce neighbors statistical analysis into the above model, we deform the 3D liver shape to overcome disturbances caused by noise and inhomogeneity. The MICCAI 2007 liver segmentation challenge datasets are used to verify the effectiveness of the proposed method. Experimental results demonstrate the good performance of the proposed method in terms of segmentation accuracy and execution speed.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129328189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Hierarchical oil painting stylization with limited reference via sparse representation 通过稀疏表示的有限参考的分层油画风格化

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340850

Saboya Yang, Jiaying Liu, Shuai Yang, Sifeng Xia, Zongming Guo

{"title":"Hierarchical oil painting stylization with limited reference via sparse representation","authors":"Saboya Yang, Jiaying Liu, Shuai Yang, Sifeng Xia, Zongming Guo","doi":"10.1109/MMSP.2015.7340850","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340850","url":null,"abstract":"Traditional image stylization is enforced by learning the mappings with an external paired training set. But in practice, people usually encounter a specific stylish image and want to transfer its style to their own pictures without the external dataset. Thus, we propose a hierarchical stylization model with limited reference particularly for oil paintings. First, the edge patch based dictionary is trained to build connections between images and limited reference, then reconstruct the structure layer. Due to the highly structured property of saliency regions, the saliency mask is extracted to integrate the structure layer and the texture layer with different weights. Hence, the advantages of both sparse representation based methods and example based methods are integrated. Moreover, the color layer and the surface layer are considered to make the output more consistent with the artist's individual oil painting style. Subjective results demonstrate the proposed method produces desirable results with state-of-art methods while keeping consistent with the artist's oil painting style.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An improved ICP registration algorithm with a weight-bootstrap scheme 一种改进的权重自举ICP配准算法

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340874

Fei Guo, Yifeng He, L. Guan

引用次数: 3

Query-by-Example Spoken Term Detection using low dimensional posteriorgrams motivated by articulatory classes 基于发音类的低维后验图的逐例查询语音词检测

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-12-03 DOI: 10.1109/MMSP.2015.7340826

Abhimanyu Popli, Arun Kumar

{"title":"Query-by-Example Spoken Term Detection using low dimensional posteriorgrams motivated by articulatory classes","authors":"Abhimanyu Popli, Arun Kumar","doi":"10.1109/MMSP.2015.7340826","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340826","url":null,"abstract":"This paper addresses the problem of Query-by-Example Spoken Term Detection (QbE-STD). Posteriorgrams have been widely used in the research on QbE-STD. Features based on articulatory classes are known to be robust to phonemic variations. The articulatory features like voicing and place of articulation are the main distinguishing features among some plosives and fricatives. These properties inspire the study of posteriorgrams based on articulatory classes for QbE-STD. Most of the previous works based on articulatory features have defined a large number of articulatory classes making it difficult to use them directly for pattern matching. Also, most of the works have completely ignored the uniqueness of the phonemes having transitory places of articulation eg. diphthongs and approximants. These issues have been addressed in this work while carefully selecting low dimensional articulatory motivated (LDAM) posteriorgrams on the basis of detailed experiments. This work is the first to show that the articulatory based posteriorgrams can outperform the phonemic posteriorgram significantly in a stand alone way (without any support from acoustic or phonemic features) for the task of QbE-STD.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123850538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10