2011 IEEE 13th International Workshop on Multimedia Signal Processing最新文献_第5页

Recognizing actions using salient features 使用显著特征识别动作

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093832

Liang Wang, Debin Zhao

引用次数: 6

A system for dynamic playlist generation driven by multimodal control signals and descriptors 一个由多模态控制信号和描述符驱动的动态播放列表生成系统

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093850

Luca Chiarandini, M. Zanoni, A. Sarti

引用次数: 5

Age estimation based on extended non-negative matrix factorization 基于扩展非负矩阵分解的年龄估计

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093779

Ce Zhan, W. Li, P. Ogunbona

{"title":"Age estimation based on extended non-negative matrix factorization","authors":"Ce Zhan, W. Li, P. Ogunbona","doi":"10.1109/MMSP.2011.6093779","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093779","url":null,"abstract":"Previous studies suggested that local appearance-based methods are more efficient than geometric-based and holistic methods for age estimation. This is mainly due to the fact that age information are usually encoded by the local features such as wrinkles and skin texture on the forehead or at the eye corners. However, the variations of theses features caused by other factors such as identity, expression, pose and lighting may be larger than that caused by aging. Thus, one of the key challenges of age estimation lies in constructing a feature space that could successfully recovers age information while ignoring other sources of variations. In this paper, non-negative matrix factorization (NMF) is extended to learn a localized non-overlapping subspace representation for age estimation. To emphasize the appearance variation in aging, one individual extended NMF subspace is learned for each age or age group. The age or age group of a given face image is then estimated based on its reconstruction error after being projected into the learned age subspaces. Furthermore, a coarse to fine scheme is employed for exact age estimation, so that the age is estimated within the pre-classified age groups. Cross-database tests are conducted using FG-NET and MORPH databases to evaluate the proposed method. Experimental results have demonstrated the efficacy of the method.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121638809","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: 13

Compression of compound images by combining several strategies 结合多种策略对复合图像进行压缩

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093824

Cuiling Lan, Jizheng Xu, Feng Wu

引用次数: 7

A flexible markerless registration method for video augmented reality 一种灵活的视频增强现实无标记配准方法

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093790

L. Ling, I. Burnett, E. Cheng

引用次数: 2

Multi-dimensional correlation steganalysis 多维相关隐写分析

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093791

F. Farhat, A. Diyanat, S. Ghaemmaghami, M. Aref

引用次数: 3

ObjectBook construction for large-scale semantic-aware image retrieval 面向大规模语义感知图像检索的ObjectBook构建

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093776

Shiliang Zhang, Q. Tian, Qingming Huang, Wen Gao

引用次数: 4

Transform-domain temporal prediction in video coding with spatially adaptive spectral correlations 基于空间自适应频谱相关性的视频编码变换域时间预测

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093815

Jingning Han, Vinay Melkote, K. Rose

{"title":"Transform-domain temporal prediction in video coding with spatially adaptive spectral correlations","authors":"Jingning Han, Vinay Melkote, K. Rose","doi":"10.1109/MMSP.2011.6093815","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093815","url":null,"abstract":"Temporal prediction in standard video coding is performed in the spatial domain, where each pixel block is predicted from a motion-compensated pixel block in a previously reconstructed frame. Such prediction treats each pixel independently and ignores underlying spatial correlations. In contrast, this paper proposes a paradigm for motion-compensated prediction in the transform domain, that eliminates much of the spatial correlation before individual frequency components along a motion trajectory are independently predicted. The proposed scheme exploits the true temporal correlations, that emerge only after signal decomposition, and vary considerably from low to high frequency. The scheme spatially and temporally adapts to the evolving source statistics via a recursive procedure to obtain the cross-correlation between transform coefficients on the same motion trajectory. This recursion involves already reconstructed data and precludes the need for any additional side-information in the bit-stream. Experiments demonstrate substantial performance gains in comparison with the standard codec that employs conventional pixel domain motion-compensated prediction.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125773011","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

Super-resolution reconstruction with prior manifold on primitive patches for video compression 基于先验流形的视频压缩超分辨率重建

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093849

Jingtao Chen, H. Xiong

{"title":"Super-resolution reconstruction with prior manifold on primitive patches for video compression","authors":"Jingtao Chen, H. Xiong","doi":"10.1109/MMSP.2011.6093849","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093849","url":null,"abstract":"This paper proposes a generic video compression framework with low-quality video data and a learning-based approach, which is rooted in sparse representation for the ill-posed problem of video super-resolution reconstruction. It is regularized by the prior manifold only on the “primitive patches”, and each primitive patch is modeled by a sparse representation concerning an over-complete dictionary of trained set. Due to low intrinsic dimensionality of primitives, the number of samples in the dictionary can be greatly reduced. Considering the similar geometry of the manifolds of the feature spaces from the low-frequency and the high-frequency primitives, we hypothesize that the low-frequency and its corresponding high-frequency primitive patches share the same sparse representation structure. In this sense, high-resolution frame primitives are divided into low-frequency and high-frequency frame primitives, and high-frequency frame primitive patches can be synthesized from both the high-frequency primitive patch dictionary and the sparse structure of the corresponding low-frequency frame primitive patches. It does not involve with explicit motion estimation and any assistant information, and decomposes the original video sequence into key frames and low-resolution frames with low entropy. The corresponding high-resolution frames would be reconstructed by combining the high-frequency and the low-frequency patches with smoothness constraints and the backpro-jection process. Experimental results demonstrate the objective and subjective efficiency in comparison with H.264/AVC and existing super-resolution reconstruction approaches.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132801335","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

Adaptive in-loop noise-filtered prediction for High Efficiency Video Coding 高效视频编码的自适应环内滤波预测

2011 IEEE 13th International Workshop on Multimedia Signal Processing Pub Date : 2011-12-01 DOI: 10.1109/MMSP.2011.6093773

Eugen Wige, Gilbert Yammine, P. Amon, A. Hutter, André Kaup

{"title":"Adaptive in-loop noise-filtered prediction for High Efficiency Video Coding","authors":"Eugen Wige, Gilbert Yammine, P. Amon, A. Hutter, André Kaup","doi":"10.1109/MMSP.2011.6093773","DOIUrl":"https://doi.org/10.1109/MMSP.2011.6093773","url":null,"abstract":"Compression of noisy image sequences is a hard challenge in video coding. Especially for high quality compression the preprocessing of videos is not possible, as it decreases the objective quality of the videos. In order to overcome this problem, this paper presents an in-loop denoising framework for efficient medium to high fidelity compression of noisy video data. It is shown that using low complexity in-loop noise estimation and noise filtering as well as adaptive selection of the denoised inter frame predictors can improve the compression performance. The proposed algorithm for adaptive selection of the denoised predictor is based on the actual HEVC reference model. The different inter frame prediction modes within the current HEVC reference model are exploited for adaptive selection of denoised prediction by transmission of some side information in combination with decoder side estimation for denoised prediction. The simulation results show considerable gains using the proposed in-loop denoising framework with adaptive selection. In addition the theoretical bounds for the compression efficiency, if we could perfectly estimate the adaptive selection of the denoised prediction in the decoder, are shown in the simulation results.","PeriodicalId":214459,"journal":{"name":"2011 IEEE 13th International Workshop on Multimedia Signal Processing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134161360","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: 4