Dataset Column

  • Dataset Column: Overview, Scope and Call for Contributions

    Overview and Scope The Dataset Column (https://records.sigmm.org/open-science/datasets/) of ACM SIGMM Records provides timely updates on the developments in the domain of publicly available multimedia datasets as enabling tools for reproducible research in numerous related areas. It is intended as a platform for further dissemination of useful information on multimedia datasets and studies of datasets covering various ...

  • Report from the MMM 2020 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2020)

    Introduction Information retrieval and multimedia content access have a long history of comparative evaluation, and many of the advances in the area over the past decade can be attributed to the availability of open datasets that support comparative and repeatable experimentation. Hence, sharing data and code to allow other researchers to replicate research results is needed ...

  • MediaEval Multimedia Evaluation Benchmark: Tenth Anniversary and Counting

    MediaEval Multimedia Evaluation Benchmark: Tenth Anniversary and Counting

    MediaEval Multimedia Challenges MediaEval is a benchmarking initiative that offers challenges in multimedia retrieval, analysis and exploration. The tasks offered by MediaEval concentrate specifically on the human and social aspects of multimedia. They encourage researchers to bring together multiple modalities (visual, text, audio) and to think in terms of systems that serve users. Our larger ...

  • Dataset Column: ToCaDa Dataset with Multi-Viewpoint Synchronized Videos

    Dataset Column: ToCaDa Dataset with Multi-Viewpoint Synchronized Videos

    This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding bounding boxes, as well as audio events. The annotation was performed in order to ...

  • Dataset Column: Report from the MMM 2019 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2019)

    Dataset Column: Report from the MMM 2019 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2019)

    Special Session Information retrieval and multimedia content access have a long history of comparative evaluation, and many of the advances in the area over the past decade can be attributed to the availability of open datasets that support comparative and repeatable experimentation. Sharing data and code to allow other researchers to replicate research results is needed ...

  • Dataset Column: Datasets for Online Multimedia Verification

    Dataset Column: Datasets for Online Multimedia Verification

    Introduction Online disinformation is a problem that has been attracting increased interest by researchers worldwide as the breadth and magnitude of its impact is progressively manifested and documented in a number of studies (Boididou et al., 2014; Zhou & Zafarani, 2018; Zubiaga et al., 2018). This emerging area of research is inherently multidisciplinary and there have ...

  • The V3C1 Dataset: Advancing the State of the Art in Video Retrieval

    The V3C1 Dataset: Advancing the State of the Art in Video Retrieval

    Download In order to download the video dataset as well as its provided analysis data, please follow the instructions described here: https://github.com/klschoef/V3C1Analysis/blob/master/README.md Introduction Standardized datasets are of vital importance in multimedia research, as they form the basis for reproducible experiments and evaluations. In the area of video retrieval, widely used datasets such as the IACC , which has ...

  • ACM Multimedia 2019 and Reproducibility in Multimedia Research

    The first months of the new calendar year, multimedia researchers traditionally are hard at work on their ACM Multimedia submissions. (This year the submission deadline is 1 April.) Questions of reproducibility, including those of data set availability and release, are at the forefront of everyone’s mind. In this edition of SIGMM Records, the editors of ...

  • Predicting the Emotional Impact of Movies

    Predicting the Emotional Impact of Movies

    Affective video content analysis aims at the automatic recognition of emotions elicited by videos. It has a large number of applications, including mood based personalized content recommendation . Beyond the analysis of existing video material, affective computing techniques can also be used to generate new ...

  • Sharing and Reproducibility in ACM SIGMM

    Sharing and Reproducibility in ACM SIGMM

      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 45% of the articles acquiring such ...

  • Socially significant music events

    Socially significant music events

    Social media sharing platforms (e.g., YouTube, Flickr, Instagram, and SoundCloud) have revolutionized how users access multimedia content online. Most of these platforms provide a variety of ways for the user to interact with the different types of media: images, video, music. In addition to watching or listening to the media content, users can also engage ...

  • Diversity and Credibility for Social Images and Image Retrieval

    Diversity and Credibility for Social Images and Image Retrieval

    Social media has established itself as an inextricable component of today’s society. Images make up a large proportion of items shared on social media . Since its introduction in 2013, the ...

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