Proceedings of the 24th ACM international conference on Multimedia最新文献

Dynamic Resource Provisioning with QoS Guarantee for Video Transcoding in Online Video Sharing Service 在线视频共享服务中视频转码的动态资源分配与QoS保证

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2964296

Guanyu Gao, Yonggang Wen, C. Westphal

{"title":"Dynamic Resource Provisioning with QoS Guarantee for Video Transcoding in Online Video Sharing Service","authors":"Guanyu Gao, Yonggang Wen, C. Westphal","doi":"10.1145/2964284.2964296","DOIUrl":"https://doi.org/10.1145/2964284.2964296","url":null,"abstract":"Video transcoding is widely adopted in online video sharing services to encode video content into multiple representations. This solution, however, could consume huge amount of computing resource and incur excessive processing delays. Moreover, content has heterogeneous QoS requirements for transcoding. Some content must be transcoded in real time, while some are deferrable for transcoding. It needs to determine the strategy for intelligently provisioning the right amount of resource under dynamic workload to meet the heterogeneous QoS requirements. To this end, this paper develops a robust dynamic resource provisioning scheme for transcoding with heterogeneous QoS criteria. We adopt the Preemptive Resume Priority discipline for scheduling, so that the transcoding-deferrable content can utilize idle resources for transcoding to maximize resource utilization while remain transparent to delay-sensitive content. We leverage Model Predictive Control to design the online algorithm for dynamic resource provisioning using predictions to accommodate time-varying workload. To seek robustness of system performance against prediction noises, we improve our online algorithm through Robust Design. The experiment results in a real environment demonstrate that our proposed framework can achieve the QoS requirements while reducing 50% of resource consumption on average.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154486","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: 21

Experience Individualization on Online TV Platforms through Persona-based Account Decomposition 通过基于人物的账户分解体验在线电视平台的个性化

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2967221

Payal Bajaj, Sumit Shekhar

引用次数: 13

Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation 无线网络中具有设备对设备合作的可扩展多媒体流

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2973837

Karim A. Jahed, S. Sharafeddine, Abdallah Moussawi, Abbas Abou Daya, Hassan Dbouk, Saadallah Kassir, Z. Dawy, Preethi Valsalan, W. Chérif, F. Filali

{"title":"Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation","authors":"Karim A. Jahed, S. Sharafeddine, Abdallah Moussawi, Abbas Abou Daya, Hassan Dbouk, Saadallah Kassir, Z. Dawy, Preethi Valsalan, W. Chérif, F. Filali","doi":"10.1145/2964284.2973837","DOIUrl":"https://doi.org/10.1145/2964284.2973837","url":null,"abstract":"We present a scalable mobile multimedia streaming system with device-to-device cooperation that enables common content distribution in dense wireless networking environments. This is particularly applicable to use cases such as delivering real-time multimedia content to fans watching a soccer game in a stadium or to participants attending a major conference in a large auditorium. The key novel characteristics of our system include seamless neighbor discovery and link quality estimation, intelligent clustering and channel allocation algorithms based on constrained minimum spanning trees, robustness against device mobility, and device centric operation with no changes to existing wireless systems. We demonstrate the functionality of the proposed system on Android devices using heterogeneous networks (cellular/WiFi/WiFi-Direct) and show the formation of multiple clusters to allow for scalable operation. The gained insights will help bridge the gap between theoretical and simulation based research conducted in this area and practical operation taking into account the capabilities and limitations of existing wireless technologies and smartphones/tablets.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900334","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

A Perceptual Quality Metric for Videos Distorted by Spatially Correlated Noise 被空间相关噪声扭曲的视频的感知质量度量

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2964302

Chao Chen, Mohammad Izadi, A. Kokaram

引用次数: 15

SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking SDNDASH:使用软件定义网络改进HTTP自适应流的QoE

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2964332

A. Bentaleb, A. Begen, Roger Zimmermann

{"title":"SDNDASH: Improving QoE of HTTP Adaptive Streaming Using Software Defined Networking","authors":"A. Bentaleb, A. Begen, Roger Zimmermann","doi":"10.1145/2964284.2964332","DOIUrl":"https://doi.org/10.1145/2964284.2964332","url":null,"abstract":"HTTP adaptive streaming (HAS) is being adopted with increasing frequency and becoming the de-facto standard for video streaming. However, the client-driven, on-off adaptation behavior of HAS results in uneven bandwidth competition and this is exacerbated when a large number of clients share the same bottleneck network link and compete for the available bandwidth. With HAS each client independently strives to maximize its individual share of the available bandwidth, which leads to bandwidth competition and a decrease in end-user quality of experience (QoE). The competition causes scalability issues, which are quality instability, unfair bandwidth sharing and network resource underutilization. We propose a new software defined networking (SDN) based dynamic resource allocation and management architecture for HAS systems, which aims to alleviate these scalability issues and improve the per-client QoE. Our architecture manages and allocates the network resources dynamically for each client based on its expected QoE. Experimental results show that the proposed architecture significantly enhances scalability by improving per-client QoE by at least 30% and supporting up to 80% more clients with the same QoE compared to the conventional schemes.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"61 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114046404","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: 143

Deep Learning for Image Memorability Prediction: the Emotional Bias 图像记忆预测的深度学习:情感偏差

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2967269

Yoann Baveye, Romain Cohendet, Matthieu Perreira Da Silva, P. Callet

引用次数: 39

Real-time Wearable Computer Vision System for Improved Museum Experience 改善博物馆体验的实时可穿戴计算机视觉系统

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2973813

Giovanni Taverriti, Stefano Lombini, Lorenzo Seidenari, M. Bertini, A. Bimbo

引用次数: 15

CNN vs. SIFT for Image Retrieval: Alternative or Complementary? CNN与SIFT图像检索:替代还是互补?

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2967252

Ke Yan, Yaowei Wang, Dawei Liang, Tiejun Huang, Yonghong Tian

引用次数: 56

Smart Beholder: An Extensible Smart Lens Platform 智能眼魔:一个可扩展的智能镜头平台

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2973793

Chun-Ying Huang, Ching-Ling Fan, Chih-Fan Hsu, Hsin-Yu Chang, Tsung-Han Tsai, Kuan-Ta Chen, Cheng-Hsin Hsu

{"title":"Smart Beholder: An Extensible Smart Lens Platform","authors":"Chun-Ying Huang, Ching-Ling Fan, Chih-Fan Hsu, Hsin-Yu Chang, Tsung-Han Tsai, Kuan-Ta Chen, Cheng-Hsin Hsu","doi":"10.1145/2964284.2973793","DOIUrl":"https://doi.org/10.1145/2964284.2973793","url":null,"abstract":"Smart Lenses refer to detachable, orientable and zoomable lenses that stream live videos over wireless networks to heterogeneous computing devices, including tablets and smartphones. Various novel applications are made possible by smart lenses, including mobile photography, smart surveillance cameras, and Unmanned Aerial Vehicle (UAV) cameras. However, to our best knowledge, existing smart lenses are closed and proprietary, and thus we initiate an open-source project called Smart Beholder for end-to-end solutions of smart lenses. The code and documents of Smart Beholder can be found at our website http://www.smartbeholder.org. Our Smart Beholder platform are useful to researchers for fast prototyping, developers for rapid development, and amateurs for hobbies. We have implemented Smart Beholder server (camera) using a popular embedded Linux platform, called Raspberry Pi. We have also realized Smart Beholder client (controller) on various OS's, including Android. Our experimental results show the practicality and efficiency of our proposed Smart Beholder: we outperform commercial products in the market in terms of both objective and subjective metrics. We believe the release of Smart Beholder will stimulate future studies on novel multimedia applications enabled by smart lenses.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124673212","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

Crowdsourcing Biodiversity Monitoring: How Sharing your Photo Stream can Sustain our Planet 众包生物多样性监测:如何分享你的照片流来维持我们的星球

Proceedings of the 24th ACM international conference on Multimedia Pub Date : 2016-10-01 DOI: 10.1145/2964284.2976762

A. Joly, H. Goëau, Julien Champ, Samuel Dufour-Kowalski, Henning Müller, P. Bonnet

{"title":"Crowdsourcing Biodiversity Monitoring: How Sharing your Photo Stream can Sustain our Planet","authors":"A. Joly, H. Goëau, Julien Champ, Samuel Dufour-Kowalski, Henning Müller, P. Bonnet","doi":"10.1145/2964284.2976762","DOIUrl":"https://doi.org/10.1145/2964284.2976762","url":null,"abstract":"Large scale biodiversity monitoring is essential for sustainable development (earth stewardship). With the recent advances in computer vision, we see the emergence of more and more effective identification tools allowing to set-up large-scale data collection platforms such as the popular Pl@ntNet initiative that allow to reuse interaction data. Although it covers only a fraction of the world flora, this platform is already being used by more than 300K people who produce tens of thousands of validated plant observations each year. This explicitly shared and validated data is only the tip of the iceberg. The real potential relies on the millions of raw image queries submitted by the users of the mobile application for which there is no human validation. People make such requests to get information on a plant along a hike or something they find in their garden but not know anything about. Allowing the exploitation of such contents in a fully automatic way could scale up the world-wide collection of implicit plant observations by several orders of magnitude, which can complement the explicit monitoring efforts. In this paper, we first survey existing automated plant identification systems through a five-year synthesis of the PlantCLEF benchmark and an impact study of the Pl@ntNet platform. We then focus on the implicit monitoring scenario and discuss related research challenges at the frontier of computer science and biodiversity studies. Finally, we discuss the results of a preliminary study focused on implicit monitoring of invasive species in mobile search logs. We show that the results are promising but that there is room for improvement before being able to automatically share implicit observations within international platforms.","PeriodicalId":140670,"journal":{"name":"Proceedings of the 24th ACM international conference on Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130377584","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: 15