Computer scientists are developing new tools that produce videos with thematic texts, In a world of novice photographers and videographers, capturing a deluge of content via their smartphones and handheld devices, there is a need for an intelligent, easy-to-use tool for automating the creation of movies and video montages.
To date, many quality videos still rely on professional frame-based editing tools to manipulate raw footage and produce a coherent video with a captivating storyline. videos with thematic texts.
 
A global team developed Write-A-Video, a new tool that generates videos from themed text. Using words and text editing, the tool automatically determines which scenes or shots are chosen from a repository to illustrate the desired storyline.
 
The tool enables novice users to produce quality video montages in a simple and user-friendly manner that doesn’t require professional video production and editing skills.
 
While existing video editing tools still demand knowledge in video processing and editing, the researchers’ new method allows novices to create videos that tell stories more naturally. Write-A-Video, say the researchers, allows users to create a video montage by simply editing the text that accompanies the video.
 
For example, adding or deleting text, and moving sentences around convert to video-editing operations, such as finding corresponding shots, cutting and rearranging shots, and creating a final video montage result.
 
The tool automatically searches for semantically matching candidate shots from a video repository, and then uses an optimization method to assemble the video montage by cutting and reordering the shots automatically.
 
When selecting candidate shots from the video repository, the method also considers the aesthetic appeal of the shots, choosing those that are ideally lit, that are well focused and are not blurry or unstable.
 
The team’s research shows that intelligent digital tools combining the abilities of humans and algorithms together can assist users in the creative process. Our work demonstrates the potential of automatic visual-semantic matching in idiom-based computational editing, offering an intelligent way to make video creation more accessible to non-professionals, researcher said.
 
For the study, the approach was tested on various pieces of themed text and video repositories, with quantitative evaluation and user studies.
 
Users without any video editing experience could produce satisfactory videos using the Write-A-Video tool, sometimes even faster than professionals utilizing frame-based editing software. At SIGGRAPH Asia, the team will demonstrate the Write-A-Video application and showcase a variety of examples of text-to-video productions.

LEAVE A REPLY

Please enter your comment!
Please enter your name here