#Warp sportz professional

We introduce SceneSkim, a tool for searching and browsing movies using synchronized captions, scripts and plot summaries. Increasingly, users can also index films through transcripts-however, dialogue often lacks visual context, character names, and high level event descriptions. Today, these users find relevant clips by watching the entire movie, scrubbing the video timeline, or navigating via DVD chapter menus. In pilot interviews we have found that such users search for a wide variety of clips-e.g., actions, props, dialogue phrases, character performances, locations-and they return to particular scenes they have seen in the past. ' Searching for scenes in movies is a time-consuming but crucial task for film studies scholars, film professionals, and new media artists.

We discuss the results of these studies and present several avenues for future work.

#Warp sportz professional

We report insights from two user studies conducted with four professional sportswriters and eight sports fans, respectively. Based on the findings, we implemented two exploratory prototypes: GameViews-Writers for sportswriters to quickly extract key game information and GameViews-Fans to support a real-time data-driven game-viewing experience for fans. We found that their story needs were similar in some respects while quite different in others. We began by observing a sportswriter, then analyzed published sports stories, and characterized 1500 fan comments about particular sporting events. In this paper, we explore how these stakeholders construct data-driven sports stories. In particular, sportswriters construct game stories using statistical information fans share their viewpoints based on the real-time stats while watching the game. Various stakeholders in the sports domain rely on the analysis and presentation of sports data to derive insights.