2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)最新文献_第7页

Fast simultaneous video encoder for adaptive streaming 快速同步视频编码器自适应流

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340802

J. D. Praeter, A. J. Díaz-Honrubia, Niels Van Kets, G. Wallendael, J. D. Cock, P. Lambert, R. Walle

引用次数: 23

Towards Rate-Distortion analysis of general source distributions: Property and principles 一般源分布的率失真分析:性质和原理

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340873

Jun Sun, Y. Duan, Qi Zhang, Jiasi Shen, Zongming Guo

引用次数: 1

Car re-identification from large scale images using semantic attributes 基于语义属性的大规模图像汽车再识别

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340861

Q. Zheng, Chao Liang, Wenhua Fang, D. Xiang, Xin Zhao, Chengping Ren, Jun Chen

{"title":"Car re-identification from large scale images using semantic attributes","authors":"Q. Zheng, Chao Liang, Wenhua Fang, D. Xiang, Xin Zhao, Chengping Ren, Jun Chen","doi":"10.1109/MMSP.2015.7340861","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340861","url":null,"abstract":"Car re-identification, searching a specific car object from a large-scale car image database, is investigated in this paper. Previous work mainly focuses on fixed pose and overlooks the special appearance. However, avoiding matching other poses would lead to coarse results of the car retrieval. And some special attributes like individual paintings which are greatly helpful for car retrieval have not drawn enough attention. This paper addresses these problems through multi-poses matching and re-ranking based on special attributes. Our core idea lies in query expansion method that can capture weighted attributes to build the retrieval model, which allows us to estimate invisible attributes by the visible ones to construct complete attributes vectors to car retrieval in any poses. Furthermore, we divide all attributes into two groups, special attributes and common attributes. Here special attributes represent the abnormal appearance like individual paintings or car damage while common attributes denote the intrinsic appearance of car. Using special attributes to re-rank results turns out to be beneficial to improve the retrieval performance. In the end, the experiments demonstrate the effectiveness of our approach on the car datasets.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133496871","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: 9

An image deblocking method based on pre-classified sparse representation 一种基于预分类稀疏表示的图像去块方法

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340823

Han Zhao, Xiaoguang Li, Li Liu, L. Zhuo

引用次数: 1

Quantized dictionary for sparse representation 用于稀疏表示的量化字典

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340845

Lei Liu, Jie Liang, Yao Zhao, Chunyu Lin, H. Bai

{"title":"Quantized dictionary for sparse representation","authors":"Lei Liu, Jie Liang, Yao Zhao, Chunyu Lin, H. Bai","doi":"10.1109/MMSP.2015.7340845","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340845","url":null,"abstract":"Dictionary learning for sparse representation has drawn considerable attention in recent years. In particular, the K-SVD algorithm is an efficient approach, and various modifications of the K-SVD have been developed for applications such as face recognition. However, the efficient storage of the dictionary has not been studied. Currently, the dictionary is simply normalized and saved as floating-point numbers, which could be quite large and lead to excessive cost and delay if the dictionary needs to be transmitted, e.g., to mobile users. In this paper, we develop a quantized K-SVD (Q-KSVD) to reduce the storage of the dictionary. We compress each basis image in the dictionary by the conventional image coding method. Moreover, we integrate the image compression step into various modified K-SVD optimization schemes, and develop an algorithm to find the optimal dictionary when there is a constraint on the total bits of the compressed dictionary. Our algorithm selects dictionary bases by ranking the contribution-rate slopes of all bases. This method also serves as an efficient approach to find the optimal number of bases of the dictionary at each rate constraint. Face recognition experiments using four K-SVD-based methods show that our method can achieve different tradeoffs between the dictionary storage space and the recognition accuracy. It can achieve comparable performance with as little as 3% of the original storage space. It can even yield higher accuracy than the uncompressed dictionary in some cases.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"10 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113963919","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: 0

Patch-based nonlocal dynamic MRI reconstruction with low-rank prior 基于斑块的低秩先验非局部动态MRI重建

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340840

Liyan Sun, Jinchu Chen, Xiao-Ping Zhang, Xinghao Ding

引用次数: 2

Linear discriminant analysis using sparse matrix transform for face recognition 基于稀疏矩阵变换的线性判别分析用于人脸识别

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340852

Linsen Wang, Jiangtao Peng, Fangzhao Wang, Baoshen Li

引用次数: 2

A hierarchical saliency detection approach for bokeh images 散景图像的分层显著性检测方法

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340821

Zhaohui Che, Guangtao Zhai, Xiongkuo Min

{"title":"A hierarchical saliency detection approach for bokeh images","authors":"Zhaohui Che, Guangtao Zhai, Xiongkuo Min","doi":"10.1109/MMSP.2015.7340821","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340821","url":null,"abstract":"Bokeh is a popular photograph technique that aesthetically highlights the image subject by properly blurring the background contents. While a large number of bokeh images can be found in our albums, the impacts of bokeh on visual saliency has not been studied yet. Our study shows that traditional saliency models do not perform well on bokeh images in that the foreground/background cannot be efficiently differentiated. Therefore, in this paper we propose a hierarchical saliency model for bokeh images through combining local sharpness measure and foreground saliency detection. More specifically, first we use local sharpness feature as a clue to locate the foreground objects in bokeh image so as to get the first level saliency map. Then we compute the second level saliency map from the blurry background using a robust saliency model. In the third step, we can generate the final saliency map by unequally weighted pooling. In order to evaluate the models' performance quantitatively, we build up a bokeh image saliency database. We test the proposed model against traditional models on the bokeh image database. The results indicate that the proposed model systematically outperforms all traditional saliency models.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130531425","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: 5

Depth perception of distorted stereoscopic images 对扭曲立体图像的深度感知

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340832

Jiheng Wang, Shiqi Wang, Zhou Wang

{"title":"Depth perception of distorted stereoscopic images","authors":"Jiheng Wang, Shiqi Wang, Zhou Wang","doi":"10.1109/MMSP.2015.7340832","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340832","url":null,"abstract":"How to measure the perceptual quality of depth information in stereoscopic natural images, especially images undergoing different types of symmetric and asymmetric distortions, is a fundamentally important issue that is not well understood. In this paper, we present two of our recent subjective studies on depth quality. The first one follows the absolute category rating (ACR) protocol that is widely used in general image quality assessment research. We find that traditional approaches such as ACR is problematic in this scenario because monocular cues and the spatial quality of images have strong impacts on the depth quality scores given by subjects, making it difficult to single out the actual contributions of stereoscopic cues in depth perception. To overcome this problem, we carry out the second subjective study where depth effect is synthesized at different depth levels before various types and levels of symmetric and asymmetric distortions are applied. Instead of following the traditional approach, we ask subjects to identify and label depth polarizations, and a Depth Perception Difficulty Index (DPDI) is developed based on the percentage of correct and incorrect subject judgements. We find this approach highly effective at quantifying depth perception induced by stereo cues and observe a number of interesting effects regarding image content dependency, distortion type dependency, and the impacts of symmetric versus asymmetric distortions. We believe that these are useful steps towards building comprehensive 3D quality-of-experience models for stereoscopic images.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133358973","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: 6

An L1/2-norm based efficient block level rate estimation model for HEVC 基于l1 /2范数的HEVC高效块级率估计模型

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2015-10-01 DOI: 10.1109/MMSP.2015.7340828

Y. Li, X. Mou, Chao Wang

{"title":"An L1/2-norm based efficient block level rate estimation model for HEVC","authors":"Y. Li, X. Mou, Chao Wang","doi":"10.1109/MMSP.2015.7340828","DOIUrl":"https://doi.org/10.1109/MMSP.2015.7340828","url":null,"abstract":"In this paper, we propose a block level rate estimation model for HEVC in discrete cosine transformation (DCT) domain, to reduce the computation burden of entropy coding in mode decision. Rather than the widely used ℓ0 and ℓ1-norm, the proposed model is based on the root of ℓ1/2-norm of the quantized DCT coefficients (r-qCoeffs) which presents a higher estimation accuracy. Furthermore, to adapt to the tree partition structured coding units in HEVC, weight matrixes of r-qCoeffs are developed for different sized transform units, where each weight is a precalculated linear function of quantization parameter (QP). Benefit from the proposed model, no parameter updating is required and high accuracy can be achieved. Experimental results show that compared with the HEVC reference software, 10.68% and 5.03% encoding time can be saved in average for intra and inter prediction mode respectively, with little rate-distortion performance loss. Besides, the proposed model that possesses a concise linear form of QP is quite qualified for the rate control mode. Results show that comparable performance to constant QP encoding mode can be achieved.","PeriodicalId":108577,"journal":{"name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133530930","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