Multimedia & Vision Events

Upcoming

IEEE International Conference on Multimedia & Expo (ICME)

• 6-20 July 2020
  ICME 2020WEB

  The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It aims at promoting exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME attracts well over 1000 submissions and 500 participants each year, serving as the prime forum for the dissemination of knowledge in the multimedia field. In 2020 again, ICME convenes leading researchers and practitioners to share the latest developments and advances in the discipline. The conference will showcase high quality oral and poster presentations, as well as, feature Workshops sponsored by IEEE societies. Researchers, developers and practitioners are welcomed to organise such Workshops on any new or emerging topic of Multimedia technology. An exposition of multimedia products, animations and industries will be held in conjunction with the conference. Moreover, proposals for Panels, Tutorials, Special Sessions, Collaborative Project Papers and Grand Challenges are also invited. In ICME 2020, exceptional papers and contributors will be also selected and recognised with prestigious awards.

2019 MMV Seminars

• MMV hosts weekly seminars centred around cutting edge research in multimedia and vision. The seminars are presented by researchers, academics, Phd candidates, and guest speakers from industry and other research groups.
  Topics include:
     Video coding and networking,
     3D analysis & reconstruction,
     Interaction & autonomy,
     Analysis of human actions,
     Visual Information Retrieval.

Past Events

• 17th May 2019
  "Video coding research at BBC R&D" by Saverio Blasi, Gosala Kulupana, Marta Mrak WEB
• 29th March 2019
  "Temporal Human Action Detection in Long and Untrimmed Videos" by Fiza Murtaza WEB
• 3rd July 2018
  "Learning the degree of appearance similarity between two images for person Re-Identification" by María José Gómez-Silva WEB
• 10th May 2018
  "Learning Techniques for Automated Detection and Tracking of Drone" by Xindi Zhang WEB
• 26th April 2018
  "Image Style Transfer and Innovation" by Bingqing Guo WEB
• 12th April 2018
  "Real-time multi-view volumetric reconstruction of dynamic scenes using Kinect v2" by Andrej Satnik WEB
• 22nd March 2018
  "Towards effective Human-Robot Interaction via Full-GRU Natural Language Video Description" by Silvia Cascianelli WEB
• 7th March 2018
  "Action Recognition Using Multi-Kernal Learning and Gaussian Processes" by Dr. Yu Qian

  Abstract:
  Image understanding using deep convolutional network has reached human-level performance, yet a closely related problem of video understanding especially, action recognition has not reached the requisite level of maturity. We propose two independent architectures for action recognition using meta-classifiers --- the first is based on combining kernels of support-vector-machines (SVM) and the second is based on distributed Gaussian Processes. Both receive features that are computed using a multi-stream deep convolutional neural network, enabling us to achieve state-of-the-art performance on a 51 and a 101-class activity recognition problem (HMDB-51/UCF-101 dataset). The resulting architecture is named pillar networks as each (very) deep neural network acts as a pillar for the meta classifiers. In addition, we illustrate that hand-crafted features such as the improved dense trajectories (iDT) and Multi-skip Feature Stacking (MIFS), as additional pillars, can further supplement the performance.

  Bio:
  Dr.Yu Qian is senior research scientist at Cortexica Vision System Ltd, UK. She has educational background in electrical and electronics engineering and computer science with a bachelors and masters from Hefei University of Technology, China and Phd from the school Computer Science of Middlesex University. After completion of her PhD she was appointed as a research officer/fellow and worked on sketch-based video retrieval (EPSRC project) at Media Technology Research Centre(MTRC) of University of Bath and CVSSP at University of Surrey. After, she joined Middlesex University as researcher fellow and worked on EU project for medical image analysis. Her research interest focuses on computer vision and machine learning, especially in visual feature representation for image/video analysis.

• 22th February 2018
  "Tissue Region Classification and Segmentation on Histology Images for Cancer Grading" by Yibao Sun WEB
• 6th November 2018
  "DROP detection" by Camilo Vargas WEB
• 30th November 2017
  "Adventures in Chromaticity" by Thomas Bangert WEB
• 16th November 2017
  "Modelling distortion maps through convolutional neural networks" by Maria Santamaria WEB
• 23rd October 2017
  "Progressive Communication for Interactive Light Field Image Data Streaming" by Dr. Eduardo Peixoto WEB
• 12th October 2017
  "Media Orchestration between Streams and Devices via new MPEG Timed Metadata" by Krishna Chandramouli

  Abstract:
  The proliferation of new capabilities in affordable smart devices capable of capturing, processing and rendering audio-visual media content triggers a need for coordination and orchestration between these devices and their capabilities, and of the content flowing from and to such devices. The upcoming MPEG Media Orchestration standard (“MORE”, ISO/IEC 23001-13) enables the temporal and spatial orchestration of multiple media and metadata streams. Temporal orchestration is about time synchronisation of media and sensor captures, processing and renderings, for which the MORE standard uses and extends a DVB standard. Spatial orchestration is about the alignment of (global) position, altitude and orientation, for which the MORE standard provides dedicated timed metadata. Other types of orchestration involve timed metadata for region of interest, perceptual quality of media, audio-feature extraction and media timeline correlation.

• 5th July 2017
  "Ontology-Based Analysis of CCTV Data" by Nur Farhan Kahar WEB
• 22nd June 2017
  "Natural Image Segmentation & Video Object Segmentation" by Ning Feng WEB
• 8th June 2017
  "K3D-hub Dataset: Low quality 3D human body dataset scanned with Microsoft Kinect for XBOX 360" by Zongyi WEB
• 10th May 2017
  "Prediction of personality, mood, affect and social context through analysis of physiological signals in response to short and long videos" by Juan Abdon Miranda Correa WEB
• 19th April 2017
  "On Relation between Cognitive and Inductive Biases" by Dr.Tomáš Kliegr WEB
• 5th April 2017
  "A Computational Model for Effective 3D Animation" by Fiona Rivera WEB
• 22nd March 2017
  "Multiview 3D sensing for high quality point cloud capturing" by Andrej Satnik WEB
• 16th March 2017
  "A Fast Mode Decision Method for HEVC Encoder" by Ellie (Jieon) Kim WEB
• 15th February 2017
  "Generic to Specific Recognition Models for Membership Analysis in Group Videos" by Wenxuan Mou WEB
• 1st February 2017
  "Automatic Detection of Facial Action Units" by Mina Adel Thabet Bishay WEB
• 18th January 2017
  "Video super-resolution based on sparse representation" by Farzad Toutounchi WEB
• 22nd April 2015
  EECS Research Showcase at Octagon - Queens Building, Queen Mary University of London, Mile End Rd, London, E1 4NS, United Kingdom WEB
• 26th January to 20th February 2015
  REVERIE will be hosting field trials of their system prototype in QMUL, London.
• 17th to 19th December 2014
  REVERIE members will be hosting pilot trials of the REVERIE system prototype in preparation for the upcoming field trials in 2015 in QMUL, London.
• 8th to 10th December 2014
  REVERIE members will be participating in an upcoming REVERIE technical plenary meeting hosted by REVERIE project partner CWI in Amsterdam.
• 12th November 2014
  Fifth THIRA meeting at BBC R&D in London
• 6th November 2014
  Julie Wall, Frank Foerster and Zongyi Xu from MMV showcased demos from the REVERIE FP7 project at the Faculty of Science and Engineering Research and Industrial Engagement Showcasing event held in the Great Hall on 6th November 2014.
• 27th to 30th October 2014
  Julie Wall and Frank Foerster from MMV showcased demos from the REVERIE FP7 project at the IEEE International Conference on Image Processing which took Julie Wall and Frank Foerster from MMV showcased demos from the REVERIE FP7 project at the IEEE International Conference on Image Processing which took place at CNIT La Dénse, Paris from October 27th to 30th 2014.place at CNIT La Dénse, Paris from October 27th to 30th 2014.
• 27th-30th October 2014
  THIRA participants attended the 2014 edition of the IEEE International Conference on Image Processing (ICIP) in Paris
• 7th August 2014
  Fourth THIRA meeting at BBC R&D in London
• 28th July - 1st August 2014
  During the XX edition of the Commonwealth Games in Glasgow, THIRA participants set up a demonstration of video compression technology. Using UHD content recorded during the Games, the THIRA project showed a comparison between its own codec and the best AVC codec, x264. The demonstration was held at the BBC's New Broadcasting House in London
• 14th May 2014
  Third THIRA meeting at BBC R&D in London
• 10th - 14th March 2014
  THIRA project has been advertised at the CeBIT trade show in Hannover
• 13th February 2014
  Second THIRA meeting at BBC R&D in London
• 27th January 2014
  THIRA participants have demonstrated UHD content and HEVC coding benefits at BBC event "The future is now" in London
• 23rd January 2014
  THIRA participants attended the Digital TV Group (DTG) UHD forum in London
• 8th-11th December 2013
  THIRA participants attended the 2013 edition of the Picture Coding Symposium (PCS) in San Jose, California
• 25th - 26th November 2013
  THIRA participants attended the EBU "UHDTV
  Voices & choices" workshop in Geneva
• 14th November 2013
  Kick-off meeting at BBC R&D in London
• 04-06 August 2009
  2009 Latin-American Conference on Networked Electronic Media (LACNEM 2009)
  Bogotà, Colombia
• 06-08 May 2009
  10th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2009)
  London, UK
• 19-24 April 2009
  Tim Popkin has been awarded the Best student paper prize in the "Area 3" for the work "Distance Blurring For Space-Variant Image Coding" presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2009, Taipei, Taiwan.
• 12 October 2008
  First ICIP Workshop on Multimedia Information Retrieval: New Trends and Challenges (ICIP-MIR 2008)
  San Diego, California, U.S.A.
• 17 September 2008
  Sander Koelstra has been awarded the Best student paper prize for the work "Non-rigid registration using free-form deformations for recognition of facial actions and their temporal dynamics" presented at the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2008 , Amsterdam, the Netherlands.
• 05 September 2008
  PetaMedia Workshop on Implicit Human-Centered Tagging (HCT 2008)
  Queen Mary, University of London, London, UK
• 29 July - 01 August 2008
  5th International Conference on Visual Information Engineering (VIE 2008)
  Xi'an, China
• 18-20 June 2008
  6th International Workshop on Content-Based Multimedia Indexing (CBMI 2008)
  Queen Mary, University of London, London, UK
• 05-07 December 2007
  The Second International Conference on Semantic and Digital Media Technologies (SAMT 2007)
  Genova, Italy
• 05-07 September 2007
  2007 IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2007)
  Queen Mary, University of London, London, UK
• 30 November - 01 December 2005
  2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005)
  The Royal Statistical Society, London, UK
• 25-26 November 2004
  1st European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2004)
  The Royal Statistical Society, London, UK
• 09-11 April 2003
  4th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2003)
  Queen Mary, University of London, London, UK