  Automatically describing videos has ever been fascinating. In this work, we
attempt to describe videos from a specific domain - broadcast videos of lawn
tennis matches. Given a video shot from a tennis match, we intend to generate a
textual commentary similar to what a human expert would write on a sports
website. Unlike many recent works that focus on generating short captions, we
are interested in generating semantically richer descriptions. This demands a
detailed low-level analysis of the video content, specially the actions and
interactions among subjects. We address this by limiting our domain to the game
of lawn tennis. Rich descriptions are generated by leveraging a large corpus of
human created descriptions harvested from Internet. We evaluate our method on a
newly created tennis video data set. Extensive analysis demonstrate that our
approach addresses both semantic correctness as well as readability aspects
involved in the task.
