Scientific Reports

Jump to Introduction, Best reporters, Conference reports, PhD Thesis summaries, Tables of Content


Introduction

Awarding the Best Social Media Reporters

The SIGMM Records team has adopted a new strategy to encourage the publication of information, and thus increase the chances to reach the community, increase knowledge and foster interaction. It consists of awarding the best Social Media reporters for each SIGMM conference, being the award a free registration to one of the SIGMM conference within a ...


Best reporters

Report from MMSYS 2019 – by Alia Sheikh

Report from MMSYS 2019 - by Alia Sheikh

Alia Sheikh (@alteralias) is researching immersive and interactive content. At present she is interested in the narrative language of immersive environments and how stories can best be choreographed within them. Being part of an international academic research community and actually meeting said international research community are not exactly the same thing it turns out. After attending ...


Conference reports

  • Report on QoMEX 2019: QoE and User Experience in Times of Machine Learning, 5G and Immersive Technologies

    Report on QoMEX 2019: QoE and User Experience in Times of Machine Learning, 5G and Immersive Technologies

    The QoMEX 2019 was held from 5 to 7 June 2019 in Berlin, with Sebastian Möller (TU Berlin and DFKI) and Sebastian Egger-Lampl (AIT Vienna) as general chairs. The annual conference celebrated its 10th birthday in Berlin since the first edition in 2009 in San Diego. The latter focused on classic multimedia voice, video and ...

  • Report from MMSYS 2019 – by Alia Sheikh

    Report from MMSYS 2019 - by Alia Sheikh

    Alia Sheikh (@alteralias) is researching immersive and interactive content. At present she is interested in the narrative language of immersive environments and how stories can best be choreographed within them. Being part of an international academic research community and actually meeting said international research community are not exactly the same thing it turns out. After attending ...

  • Report from QoE-Management 2019

    The 3rd International Workshop on Quality of Experience Management (QoE-Management 2019) was a successful full day event held on February 18, 2019 in Paris, France, where it was co-located with the 22nd Conference on Innovation in Clouds, Internet and Networks (ICIN). After the success of the previous QoE-Management workshops, the third edition of the workshop ...

  • Report from ACM MM 2018 – by Ana García del Molino

    Report from ACM MM 2018 - by Ana García del Molino

    Seoul, what a beautiful place to host the premier conference on multimedia! Living in never-ending summer Singapore, I fell in love with the autumn colours of this city. The 26th edition of the ACM International Conference on Multimedia was held on October 22-26 of 2018 at the Lotte Hotel in Seoul, South Korea. It packed ...

  • First Combined ACM SIGMM Strategic Workshop and Summer School in Stellenbosch, South Africa

    First Combined ACM SIGMM Strategic Workshop and Summer School in Stellenbosch, South Africa

    The first combined ACM SIGMM Strategic Workshop and Summer School will be held in Stellenbosch, South Africa, in the beginning of July 2020. First ACM Multimedia Strategic Workshop The first Multimedia Strategic Workshop follows the successful series of workshops in areas such as information retrieval. The field of multimedia has continued to evolve and develop: collections of ...

  • Report from ACM ICMR 2018 – by Cathal Gurrin

    Report from ACM ICMR 2018 – by Cathal Gurrin

      Multimedia computing, indexing, and retrieval continue to be one of the most exciting and fastest-growing research areas in the field of multimedia technology. ACM ICMR is the premier international conference that brings together experts and practitioners in the field for an annual conference. The eighth ACM International Conference on Multimedia Retrieval (ACM ICMR 2018) took ...

  • SISAP 2018: 11th International Conference on Similarity Search and Applications

    SISAP 2018: 11th International Conference on Similarity Search and Applications

    The International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many ...

  • Report from the SIGMM Emerging Leaders Symposium 2018

    Report from the SIGMM Emerging Leaders Symposium 2018

    The idea of a symposium to bring together the bright new talent within the SIGMM community and to hear their views on some topics within the area and on the future of Multimedia, was first mooted in 2014 by Shih-Fu Chang, then SIGMM Chair. That lead to the “Rising Stars Symposium” at the MULTIMEDIA Conference ...

  • Interview with Dr. Magda Ek Zarki and Dr. De-Yu Chen: winners of the Best MMsys’18 Workshop paper award

    Interview with Dr. Magda Ek Zarki and Dr. De-Yu Chen: winners of the Best MMsys’18 Workshop paper award

    The ACM Multimedia Systems conference (MMSys’18) was recently held in Amsterdam from 9-15 June 2018. The conferences brings together researchers in multimedia systems. Four workshops were co-located with MMSys, namely PV’18, NOSSDAV’18, MMVE’18, and NetGames’18. In this post we interview Magda El Zarki and De-Yu Chen, the authors of the best workshop paper entitled ...

  • Report from ACM MMSYS 2018 – by Gwendal Simon

    Report from ACM MMSYS 2018 - by Gwendal Simon

    While I was attending the MMSys conference (last June in Amsterdam), I tweeted about my personal highlights of the conference, in the hope to share with those who did not have the opportunity to attend the conference. Fortunately, I have been chosen as “Best Social Media Reporter” of the conference, a new award given by ...


PhD thesis summaries

  • Title: A Three Layer System for Audio-visual Quality Assessment

    Title: A Three Layer System for Audio-visual Quality Assessment

    The development of models for quality prediction of both audio and video signals is a fairly mature field. But, although several multimodal models have been proposed, the area of audiovisual quality prediction is still an emerging area. In fact, despite the reasonable performance obtained by combination and parametric metrics, currently there is no reliable pixel-based ...

  • Title: Quality of experience characterization and provisioning in mobile cellular networks

    Title: Quality of experience characterization and provisioning in mobile cellular networks

      Traditionally, previous generations of mobile cellular networks have been designed with Quality of Service (QoS) criteria in mind, so that they manage to meet specific service requirements. Quality of Experience (QoE) has, however, recently emerged as a concept, disrupting the design of future network generations by giving clear emphasis on the actually achieved user experience. ...

  • Title: Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming

    Title: Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming

    The thesis focuses on Quality of Experience (QoE) of HTTP adaptive video streaming (HAS) and traffic management in access networks to improve the QoE of HAS. First, the QoE impact of adaptation parameters and time on layer was investigated with subjective crowdsourcing studies. The results were used to compute a QoE-optimal adaptation strategy for given ...

  • Title: Objects for spatio-temporal activity recognition in videos

    Title: Objects for spatio-temporal activity recognition in videos

    This thesis investigates the role of objects for the spatio-temporal recognition of activities in videos. We investigate what, when, and where specific activities occur in visual content by examining object representations, centered around the main question: what do objects tell about the extent of activities in visual space and time? The thesis presents six works ...

  • Title: An action recognition framework for uncontrolled video capture based on a spatio-temporal video graph

    Title: An action recognition framework for uncontrolled video capture based on a spatio-temporal video graph

    The task of automatic categorization and localization of human action in video sequences is valuable for a variety of applications such as detecting relevant activities in surveillance video, summarizing and indexing video sequences or organizing a digital video library according to the relevant actions. However it remains a challenging problem for computers to robustly recognize ...

  • Title: Deep image representations for instance search

    Title: Deep image representations for instance search

    We address the problem of visual instance search, which consists to retrieve all the images within an dataset that contain a particular visual example provided to the system. The traditional approach of processing the image content for this task relied on extracting local low-level information within images that was “manually engineered” to be invariant to ...

  • Title: Improving instance search performance in video collections

    Title: Improving instance search performance in video collections

    This thesis presents methods to improve instance search and enhance user performance while browsing unstructured video collections. Through the use of computer vision and information retrieval techniques, we propose novel solutions to analyse visual content and build a search algorithm to address the challenges of visual instance search, while considering the constraints for practical applications. ...

  • Title: An Investigation Into Machine Learning Solutions Involving Time Series Across Different Problem Domains

    Title: An Investigation Into Machine Learning Solutions Involving Time Series Across Different Problem Domains

    In this thesis we will examine architectures and models for machine learning in three problem domains each of which are based around the use of time series data in time series applications. We set out to examine whether the architecture and model solutions in different problem domains will converge when optimised towards a similar solution ...

  • Title: Behavioural biometric identification based on human computer interaction

    Title: Behavioural biometric identification based on human computer interaction

    As we become increasingly dependent on information systems, personal identification and profiling systems have received an increasing interest, either for reasons of personalisation or security. Biometric profiling is one means of identification which can be achieved by analysing something the user is or does (e.g., a fingerprint, signature, face, voice). This Ph.D. research focuses on ...

  • Title: Investigating multi-modal features for continuous affect recognition using visual sensing

    Title: Investigating multi-modal features for continuous affect recognition using visual sensing

    Emotion plays an essential role in human cognition, perception and rational decisionmaking. In the information age, people spend more time then ever before interacting with computers, however current technologies such as Artificial Intelligence (AI) and Human-Computer Interaction (HCI) have largely ignored the implicit information of a user’s emotional state leading to an often frustrating and ...

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