Carlos Ruiz, Sinuhé Arroyo, Igor Krsteski, P. Dago, J. Sánchez, L. Pérez-Freire, A. D. Rosa, M. Fontani, Andrea Costanzo, A. Piva, Davide Ariu, Luca Piras, Raimundo Ahumada, M. Jerian
{"title":"The maven project: Management and Authenticity Verification of multimedia contents","authors":"Carlos Ruiz, Sinuhé Arroyo, Igor Krsteski, P. Dago, J. Sánchez, L. Pérez-Freire, A. D. Rosa, M. Fontani, Andrea Costanzo, A. Piva, Davide Ariu, Luca Piras, Raimundo Ahumada, M. Jerian","doi":"10.1109/ICMEW.2015.7169825","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169825","url":null,"abstract":"MAVEN (Management and Authenticity Verification of multimedia contENts) is a European FP7 Project focused on the development of a suite of tools for multimedia data management and security. MAVEN objectives are centered on two key concepts, search and verify, integrated in a coherent manner: the system first searches for digital contents containing objects of interest and then applies advanced forensic analysis tools to verify their integrity and authenticity. These capabilities have been developed as a single software framework, and the project also involves the implementation of a prototype demonstrator application, which brings to the end user the possibility of searching for specific contents in media while verifying their authenticity.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122393311","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}
C. Timmerer, Daniel Weinberger, Martin Smole, Reinhard Grandl, Christopher Müller, Stefan Lederer
{"title":"Live transcoding and streaming-as-a-service with MPEG-DASH","authors":"C. Timmerer, Daniel Weinberger, Martin Smole, Reinhard Grandl, Christopher Müller, Stefan Lederer","doi":"10.1109/ICMEW.2015.7169746","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169746","url":null,"abstract":"Multimedia content delivery and real-time streaming over the top of the existing infrastructure is nowadays part and parcel of every media ecosystem thanks to open standards and the adoption of the Hypertext Transfer Protocol (HTTP) as its primary mean for transportation. Hardware encoder manufacturers have adopted their product lines to support the dynamic adaptive streaming over HTTP but suffer from the inflexibility to provide scalability on demand, specifically for event-based live services that are only offered for a limited period of time. The cloud computing paradigm allows for this kind of flexibility and provide the necessary elasticity in order to easily scale with the demand required for such use case scenarios. In this paper we describe bitcodin, our transcoding and streaming-as-as-ervice platform based on open standards (i.e., MPEG-DASH) which is deployed on standard cloud and content delivery infrastructures to enable high-quality streaming to heterogeneous clients. It is currently deployed for video on demand, 24/7 live, and event-based live services using bitdash, our adaptive client framework.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121855485","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}
{"title":"A disocclusion filling method using multiple sprites with depth for virtual view synthesis","authors":"Chi Ho Cheung, Lu Sheng, K. Ngan","doi":"10.1109/ICMEW.2015.7169773","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169773","url":null,"abstract":"Depth image based rendering (DIBR) is an important technique to generate virtual view images with limited 3-D data. However, disocclusion is a critical problem that the regions occluded by foreground objects become visible in virtual views, which is difficult to be visual-plausibly inferred. In this paper, we propose a novel temporally consistent filling method using multiple sprites with depth (MSD) to fill the disocclusions faithfully. MSD stores the background as well as intermediate foreground objects of past frames in multiple sprites, so that amounts of pixels in disocclusions can be recovered from MSD. Moreover, we also introduce a method to recognize the source space for exemplar based inpainting to fill the remaining disocclusions. The experimental results show the proposed method achieves objective and subjective improvement compared with the state-of-the-art methods. The synthesized sequences by the proposed method have higher spatio-temporal consistency.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490846","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}
J. Blat, A. Evans, J. Agenjo, Hansung Kim, E. Imre, A. Hilton, A. Tefas, N. Nikolaidis, I. Pitas, L. Polok, P. Smrz, P. Zemčík
{"title":"IMPART: Big media data processing and analysis for film production","authors":"J. Blat, A. Evans, J. Agenjo, Hansung Kim, E. Imre, A. Hilton, A. Tefas, N. Nikolaidis, I. Pitas, L. Polok, P. Smrz, P. Zemčík","doi":"10.1109/ICMEW.2015.7169822","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169822","url":null,"abstract":"A typical high-end film production generates several terabytes of data per day, either as footage from multiple cameras or as background information regarding the set (laser scans, spherical captures, etc). The EU project IMPART (impart.upf.edu) has been researching solutions that improve the integration and understanding of the quality of the multiple data sources to support creative decisions onset or near it, and an enhanced post-production as well. The main results covered in this paper are: a public multisource production dataset made available for research purposes, monitoring and quality assurance of multicamera set-ups, multisource registration, anthropocentric visual analysis for semantic content annotation, acceleration of 3D reconstruction, and integrated 2D-3D web visualization tools.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127392442","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}
Luca D'Amiano, D. Cozzolino, G. Poggi, L. Verdoliva
{"title":"Video forgery detection and localization based on 3D patchmatch","authors":"Luca D'Amiano, D. Cozzolino, G. Poggi, L. Verdoliva","doi":"10.1109/ICMEW.2015.7169805","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169805","url":null,"abstract":"A new algorithm is proposed for the detection and accurate localization of copy-move video forgeries. Major ingredients of the proposed algorithm are i) noise-resilient rotation-invariant features, ii) dense-field matching over the whole video by means of a suitably modified fast algorithm for approximate nearest neighbor search, iii) ad hoc fast post-processing for forgery detection and false alarm removal. Experiments carried out on a dataset publicly available for this task show promising results, suggesting also a number of directions for future research.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128595490","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}
J. Lin, E. Wu, I. Katsavounidis, Zhi Li, A. Aaron, C.-C. Jay Kuo
{"title":"EVQA: An ensemble-learning-based video quality assessment index","authors":"J. Lin, E. Wu, I. Katsavounidis, Zhi Li, A. Aaron, C.-C. Jay Kuo","doi":"10.1109/ICMEW.2015.7169760","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169760","url":null,"abstract":"A full-reference video quality assessment (VQA) method, called the ensemble-learning-based video quality assessment (EVQA) index, is proposed in this work. As compared with previous learning-based VQA methods, it has two unique features. First, EVQA adopts a frame-based learning mechanism to address the limited training data problem. Second, a dynamic image quality assessment(IQA) fusion scheme is developed by taking three factors into account: the spatial complexity and temporal context of a frame in a video source and the strength of IQA indices. In the test stage, EVQA applies the derived IQA fusion rule to different frames and take an average of the frame-based scores to generate the final video quality score. The superior performance of the proposed EVQA index is demonstrated by experimental results conducted on both LIVE and MCL-V video databases.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131195","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}
B. Moreno, C. Palau, Eneko Olivares, M. Esteve, M. Montesinos, A. Romeu
{"title":"Live Fallas: A Future Internet smart city APP for large-scale events","authors":"B. Moreno, C. Palau, Eneko Olivares, M. Esteve, M. Montesinos, A. Romeu","doi":"10.1109/ICMEW.2015.7169828","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169828","url":null,"abstract":"Smart cities are becoming more and more popular primarily due to increasing TIC innovations and administrative efforts from city councils to better connect citizens through stateof- the-art technology. Currently a smart city is no longer focused just on offering administrative services, but on providing useful and pervasive information to citizens and serving as basic data source for local companies to create value added services. Live Fallas combines Future Internet enablers developed for Smart City platforms in the framework of FIContent2 project to provide a mobile application aimed at a large scale event, such as the Fallas Festival. Open data fusion, real time social network analysis and context-aware recommendation are the most relevant functionalities offered to users. Real time hot spots based on geolocated social network activity in the city of Valencia can be easily calculated. The experiment was held during March 2015 with more than 8000 downloads in the Google and Apple's marketplaces.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123016694","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}
{"title":"Privacy preserving multimedia content identification for cloud based bag-of-feature architectures","authors":"S. Voloshynovskiy, M. Diephuis, T. Holotyak","doi":"10.1109/ICMEW.2015.7169799","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169799","url":null,"abstract":"In this paper we consider privacy-preserving multimedia content identification for a cloud based Bag-of-Feature (BoF) framework. We analytically model how geometric information can be used as a shared secret and derive the tradeoff between identification capability, privacy and computational load. In addition we suggest a descriptor ambiguization method that introduces uncertainty to the server with respect to the true interest of the data users.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667829","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}
{"title":"Complex asthma risk factor recognition from heterogeneous data streams","authors":"Laleh Jalali, Minh-Son Dao, R. Jain, K. Zettsu","doi":"10.1109/ICMEW.2015.7169780","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169780","url":null,"abstract":"There are many studies regarding the relationships between environmental factors, particularly air pollution, and asthma exacerbation. Most of these studies ignore the potential confounding effects of a sequence of these factors with a specific time lag between them and asthma outbreaks. In this paper we present a new method for identifying consequential relations in the form of complex patterns between environmental factors and asthma attacks. Temporal structure and order relation between these data and their effect on asthma exacerbation comprise complex patterns called asthma risk factors. By extracting such patterns we create a risk prediction model that is important both for an asthmatic patient and public health. For experimental evaluations, we have collected pollution and meteorological data in Tokyo city and found 32 complex risk factor patterns that might result in asthma outbreaks. The experimental results show that extracted model has 71.15% precision.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114528384","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}
{"title":"EEG-based biometric recognition using EigenBrains","authors":"E. Maiorana, Daria La Rocca, P. Campisi","doi":"10.1109/ICMEW.2015.7169794","DOIUrl":"https://doi.org/10.1109/ICMEW.2015.7169794","url":null,"abstract":"An increased level of attention has recently raised on biometric recognition by means of electroencephalography (EEG). This modality in fact possesses several properties which may be appealing for automatic people recognition, such as the intrinsic liveness detection and the robustness against potential attacks. Moreover, it could be easily exploited in applications based on brain-computer interfaces (BCI). In this paper we exhaustively analyze the discriminative capability of a compact representation of EEG signals acquired in resting conditions. Specifically, the exploited templates are obtained as projections into a subspace defined through EigenBrains (EBs), a basis for EEG data relying on principal component analysis (PCA). An extensive set of experimental tests, conducted on a database comprising 60 users, is performed to evaluate the recognition capabilities of the proposed representation under different system configurations.","PeriodicalId":388471,"journal":{"name":"2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225800","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}