LSMDC 2015 - Describing and Understanding Video & The Large Scale Movie Description Challenge (LSMDC)

Automatically describing open-domain videos using rich natural sentences is among the most challenging tasks of computer vision, natural language processing and machine learning. To stimulate research on this topic, we propose the Describing and Understanding Videos Workshop & LSMDC Challenge, which features a unified version of the recently published large-scale movie datasets (M-VAD and MPII-MD), proposed. These datasets have been built using Audio Descriptions (AD) / Descriptive Video Service (DVS) resources for the visually impaired, to generate natural sentences of video clips by transcribing and aligning their associated audio information.
The goal of this workshop/challenge is thus to bring together researchers working on diverse topics in computer vision and natural language processing in order to obtain a better understanding of the existing challenges and new research directions of open-domain video description with natural sentences.
We invite submissions on topics pertaining to the subject, including:
Generating descriptions for videos.
Generating Audio Descriptions for movies.
Using textual descriptions as weak supervision for video understanding.
Using dialogs and/or audio for video understanding.
Understanding plots.
Recognizing characters in TV series / movies.
Novel tasks with Audio Descriptions / DVS dataset.