Call for Task Proposals: Multimedia Evaluation 2017

MediaEval 2017 Multimedia Evaluation Benchmark Call for Task Proposals Proposal Deadline: 3 December 2016 MediaEval is a benchmarking initiative dedicated to developing and evaluating new algorithms and technologies for multimedia retrieval, access and exploration. It offers tasks to the research community that are related to human and social aspects of … Read more

MPEG Column: 116th MPEG Meeting

MPEG Workshop on 5-Year Roadmap Successfully Held in Chengdu Chengdu, China – The 116th MPEG meeting was held in Chengdu, China, from 17 – 21 October 2016 MPEG Workshop on 5-Year Roadmap Successfully Held in Chengdu At its 116th meeting, MPEG successfully organised a workshop on its 5-year standardisation roadmap. … Read more

ACM TVX — Call for Volunteer Associate Chairs

CALL FOR VOLUNTEER ASSOCIATE CHAIRS – Applications for Technical Program Committee ACM TVX 2017 International Conference on Interactive Experiences for Television and Online Video June 14-16, 2017, Hilversum, The Netherlands www.tvx2017.com We are welcoming applications to become part of the TVX 2017 Technical Program Committee (TPC), as Associate Chair (AC). … Read more

MPEG Column: 117th MPEG Meeting

The original blog post can be found at the Bitmovin Techblog and has been updated here to focus on and highlight research aspects. The 117th MPEG meeting was held in Geneva, Switzerland and its press release highlights the following aspects: MPEG issues Committee Draft of the Omnidirectional Media Application Format (OMAF) MPEG-H 3D Audio Verification Test … Read more

Call for Grand Challenge Problem Proposals

Original page: http://www.acmmm.org/2017/contribute/call-for-multimedia-grand-challenge-proposals/   The Multimedia Grand Challenge was first presented as part of ACM Multimedia 2009 and has established itself as a prestigious competition in the multimedia community.  The purpose of the Multimedia Grand Challenge is to engage with the multimedia research community by establishing well-defined and objectively judged challenge problems intended to exercise … Read more

JPEG Column: 74th JPEG Meeting

The 74th JPEG meeting was held at ITU Headquarters in Geneva, Switzerland, from 15 to 20 January featuring the following highlights: A Final Call for Proposals on JPEG Pleno was issued focusing on light field coding; Creation of a test model for the upcoming JPEG XS standard; A draft Call … Read more

PhD Thesis Summary

Amirhossein Habibian

This thesis studies the fundamental question: what vocabulary of concepts are suited for machines to describe video content? The answer to this question involves two annotation steps: First, to specify a list of concepts by which videos are described. Second, to label a set of videos per concept as its … Read more

PhD Thesis Summary

Chien-nan Chen

3D Tele-immersion (3DTI) technology allows full-body, multimodal interaction among geographically dispersed users, which opens a variety of possibilities in cyber collaborative applications such as art performance, exergaming, and physical rehabilitation. However, with its great potential, the resource and quality demands of 3DTI rise inevitably, especially when some advanced applications target … Read more

PhD Thesis Summary

Masoud Mazloom

In this thesis we aim to represent an event in a video using semantic features. We start from a bank of concept detectors for representing events in video. At first we considered the relevance of concepts to the event inside the video representation. We address the problem of video event … Read more

PhD Thesis Summary

Rufael Mekuria

The Internet is used for distributed shared experiences such as video conferencing, voice calls (possibly in a group), chatting, photo sharing, online gaming and virtual reality. These technologies are changing our daily lives and the way we interact with each other. The current rapid advances in 3D depth sensing and … Read more

PhD Thesis Summary

Svetlana Kordumova

This thesis contributes to learning machines what is in an image by avoiding direct manual annotation as training data. We either rely on tagged data from social media platforms to recognize concepts, or on objects semantics and layout to recognize scenes. We focus our effort on image search.We firstly demonstrate … Read more