This column discusses the efforts of ACM SIGMM towards sharing and reproducibility. Apart from the specific sessions dedicated to open source and datasets, ACM Multimedia Systems started to provide official ACM badges for articles that make artifacts available since last year. This year, it has marked a record with …
Read more → Emphasizing the importance of neighboring communities for our work in the field of multimedia was one of the primary objectives we set out with when we started this column about a year ago. In past issues, we gave related communities a voice through interviews and personal accounts. For instance, …
Read more → The discussion: multimedia data is affected by new forms of privacy threats, let’s learn, protect, and engage our users. For this edition of the SIGMM Opinion Column, we carefully selected the discussion’s main topic, looking for an appealing and urgent problem arising for our community. Given the recent Cambridge …
Read more → The original blog post can be found at the Bitmovin Techblog and has been modified/updated here to focus on and highlight research aspects. The MPEG press release comprises the following topics: Versatile Video Coding (VVC) project starts strongly in the Joint Video Experts Team MPEG issues Call for Proposals on Network-based Media Processing MPEG …
Read more → The JPEG Committee had its 79th meeting in La Jolla, California, U.S.A., from 9 to 15 April 2018. During this meeting, JPEG had a final celebration of the 25th anniversary of its first JPEG standard, usually known as JPEG-1. This celebration coincides with two interesting facts. The first was the approval of a …
Read more → PhD Thesis Summary
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 …
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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 …
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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). …
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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 …
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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 …
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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 …
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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? …
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