Sharing data and code to allow others to replicate research results is the ideal way to advance
the field. To reach this goal, the Open-source Software and Datasets Track provides an
opportunity for researchers and practitioners to make their work available and citable as well
as to increase the public awareness of their considerable efforts.
Those who have created a new dataset or open-source software package that is relevant to the
multimedia community should consider submitting it to this track. This includes, but is not
limited to, software and datasets relevant to both traditional and emerging areas, network
traces, user or application behavior and performance, both real or synthetic, as well as
software from all aspects of production, coding, transmission, use or analysis of multimedia
systems. Together with the dataset or source code, authors are asked to also provide a short
paper describing the motivation and design, and discussing the way it can be useful to the
community.
Those who have created a new dataset or open-source software package that is relevant to the
multimedia community should consider submitting it to this track. This includes, but is not
limited to, software and datasets relevant to both traditional and emerging areas, network
traces, user or application behavior and performance, both real or synthetic, as well as
software from all aspects of production, coding, transmission, use or analysis of multimedia
systems. Together with the dataset or source code, authors are asked to also provide a short
paper describing the motivation and design, and discussing the way it can be useful to the
community.
Criteria of acceptance include the soundness of the collection methodology and the value of the
dataset as a resource for the multimedia research community, or the broad applicability and
potential impact, novelty, technical depth of the software. The accepted papers will be given
the appropriate ACM reproducibility badge (
details), included in the conference proceedings and
presented/demonstrated during the conference.
Note that it is the authors' responsibility to ensure that all datasets and source code are
licensed in such a manner that it can be legally and freely used, at the minimum in academic and
research settings (e.g., GPLv2, LGPLv2, BSD, BSD + patents, or equivalent license).