2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)最新文献

A pilot study on affective classification of facial images for emerging news topics 新兴新闻主题面部图像情感分类的初步研究

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958799

Ligang Zhang, C. Lau, D. Tjondronegoro, V. Chandran

{"title":"A pilot study on affective classification of facial images for emerging news topics","authors":"Ligang Zhang, C. Lau, D. Tjondronegoro, V. Chandran","doi":"10.1109/MMSP.2014.6958799","DOIUrl":"https://doi.org/10.1109/MMSP.2014.6958799","url":null,"abstract":"The proliferation of news reports published in online websites and news information sharing among social media users necessitates effective techniques for analysing the image, text and video data related to news topics. This paper presents the first study to classify affective facial images on emerging news topics. The proposed system dynamically monitors and selects the current hot (of great interest) news topics with strong affective interestingness using textual keywords in news articles and social media discussions. Images from the selected hot topics are extracted and classified into three categorized emotions, positive, neutral and negative, based on facial expressions of subjects in the images. Performance evaluations on two facial image datasets collected from realworld resources demonstrate the applicability and effectiveness of the proposed system in affective classification of facial images in news reports. Facial expression shows high consistency with the affective textual content in news reports for positive emotion, while only low correlation has been observed for neutral and negative. The system can be directly used for applications, such as assisting editors in choosing photos with a proper affective semantic for a certain topic during news report preparation.","PeriodicalId":164858,"journal":{"name":"2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126953609","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 rate control algorithm for SVC with optimised MAD prediction 基于优化MAD预测的SVC改进速率控制算法

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958821

Xin Lu, G. Martin

引用次数: 4

Towards efficient wavefront parallel encoding of HEVC: Parallelism analysis and improvement 高效的HEVC波前并行编码:并行性分析与改进

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958818

Keji Chen, Y. Duan, Jun Sun, Zongming Guo

{"title":"Towards efficient wavefront parallel encoding of HEVC: Parallelism analysis and improvement","authors":"Keji Chen, Y. Duan, Jun Sun, Zongming Guo","doi":"10.1109/MMSP.2014.6958818","DOIUrl":"https://doi.org/10.1109/MMSP.2014.6958818","url":null,"abstract":"High Efficiency Video Coding (HEVC) is the new generation video coding standard which achieves significant improvement in coding efficiency. Although HEVC is promising in many applications, the increased computational complexity is a serious problem, which makes parallelization necessary in HEVC encoding. To better understand the bottleneck of parallelization and improve the encoding speed, in this paper, we propose a Coding Tree Blocks (CTB) level parallelism analysis method as well as a novel Inter-Frame Wavefront (IFW) parallel encoding method. First, by establishing the relationship between parallelism and dependence, parallelism is precisely described by CTB-level dependence as a criterion to evaluate different parallel methods of HEVC. On this basis, by effectively decreasing the dependence based on Wavefront Parallel Processing (WPP), IFW method is developed. Finally, with the proposed parallelism analysis method, IFW is theoretically proved to be of higher parallelism compared with other HEVC representative parallel methods. Extensive experimental results show that, the proposed method and implementation can bring up to 17.81x, 14.34x and 24.40x speedup for HEVC encoding of WVGA, 720p and 1080p standard test sequences with the same ignorable coding performance degradation as WPP, thus showing a promising technology for future large-scale HEVC video application.","PeriodicalId":164858,"journal":{"name":"2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129632660","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

Classifying harmful children's content using affective analysis 运用情感分析法对儿童有害内容进行分类

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958813

Joseph Santarcangelo, Xiao-Ping Zhang

引用次数: 2

Fast mode decision for error resilient video coding 抗错误性视频编码的快速模式决策

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958824

Yunong Wei, Yuan Zhang, Jinyao Yan

引用次数: 3

Comparing subjective and objective quality assessment of HDR images compressed with JPEG-XT 比较JPEG-XT压缩HDR图像的主客观质量评价

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958833

Claire Mantel, Stefan Catalin Ferchiu, Søren Forchhammer

引用次数: 23

A fusion-based enhancing approach for single sandstorm image 一种基于融合的沙尘暴单幅图像增强方法

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958791

Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping Zhang, Xinghao Ding

{"title":"A fusion-based enhancing approach for single sandstorm image","authors":"Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping Zhang, Xinghao Ding","doi":"10.1109/MMSP.2014.6958791","DOIUrl":"https://doi.org/10.1109/MMSP.2014.6958791","url":null,"abstract":"In this paper, a novel image enhancing approach focuses on single sandstorm image is proposed. The degraded image has some problems, such as color distortion, low-visibility, fuzz and non-uniform luminance, due to the light is absorbed and scattered by particles in sandstorm. The proposed approach based on fusion principles aims to overcome the aforementioned limitations. First, the degraded image is color corrected by adopting a statistical strategy. Then two inputs, which represent different brightness, are derived only from the color corrected image by applying Gamma correction. Three weighted maps (sharpness, chromaticity and prominence), which contain important features to increase the quality of the degraded image, are computed from the derived inputs. Finally, the enhanced image is obtained by fusing the inputs with the weight maps. The proposed method is the first to adopt a fusion-based method for enhancing single sandstorm image. Experimental results show that enhanced results can be improved by color correction, well enhanced details and local contrast while promoted global brightness, increasing the visibility, naturalness preservation. Moreover, the proposed algorithm is mostly calculated by per-pixel operation, which is appropriate for real-time applications.","PeriodicalId":164858,"journal":{"name":"2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134239002","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: 39

Compression of HD videos by a contrast-based human attention algorithm 基于对比度的人类注意力算法压缩高清视频

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958825

Sylvia O. N’guessan, N. Ling, Zhouye Gu

引用次数: 3

Cost effective video streaming using server push over HTTP 2.0 通过HTTP 2.0使用服务器推送的高效视频流

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958796

Sheng Wei, Viswanathan Swaminathan

引用次数: 31

Within- and cross- database evaluations for face gender classification via befit protocols 通过匹配协议进行面部性别分类的数据库内和数据库间评估

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2014-11-20 DOI: 10.1109/MMSP.2014.6958797

N. Erdogmus, Matthias Vanoni, S. Marcel

引用次数: 9