Dataset Column

  • 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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