如何轻松找到想要的视频剪辑

遍历视频来获取所需视频片段的精确进出点的需求已一去不复返了。 借助我们的TVU MediaMind AI引擎中可用的语音到文本算法,现在可以立即准确地跳转到所需的剪辑,这些剪辑与视频字幕的引号相对应。

2020年9月16日

Terms like “linear,” “non-linear” and “random access” were thrown around a lot not that long ago when it came to video, especially video editing.

Being “linear” simply meant that frame after frame of video was recorded sequentially on a line-like medium, such as videotape or film. Then came “non-linear” –as in editing—that recorded frames onto a randomly accessible medium like a spinning computer disk.

The difference became painfully obvious when it came to accessing a desired video clip for an edit. Getting to the clip on videotape took time as the linear medium shuttled in one direction or the other. Once found, the precise clip was identified by the frame-accurate timecode information associated with its in and out points.

For a time, these timecode IDs for clips were just as important in non-linear editing. While the clips were randomly accessed on non-linear editing systems, conforming a final edit in post-production still required an edit decision list of clips identified by timecode numbers from the NLE that corresponded to the same timecode IDs on a linear source medium.

Of course, the conforming process has faded away as the distinction between offline and online editing has become almost archaic.

What hasn’t become an anachronism is the process of scrubbing through video content until the desired clip for an edit is found—whether that’s on an NLE system, a slow motion instant replay server or some other type of production storage. But that’s all changing thanks to the power of artificial intelligence (AI) algorithms and clever cloud technology implementation.

Find The Right Clip Instantly

Put yourselves in the shoes of a news editor, MMJ or reporter. You have several 10-minute clips of source footage from interviews you’ve conducted with newsmakers. You have to find the exact clips needed to tell a great story, and you are on deadline.

With the assistance of the speech-to-text algorithm available as part of our TVU MediaMind AI engine, transcripts of those interviews are presented to you, the journalist who is working on this hypothetical story, in mere moments. Reading through the transcripts, you identify the exact sentences spoken by your sources that you want to include in your story.

Because every frame of video recorded includes rich metadata generated by MediaMind AI algorithms, including the speech-to-text algorithm, it is now possible to jump instantly and precisely to the desired video clips that correspond to the quotes from the transcript.

Gone is the need to scrub back and forth through video to get to the precise in and out points of desired video clips. Gone too is any concern about timecode –or in this instance timestamps—and frames. It all happens in the background, enabling you, the journalist, to focus your efforts on storytelling.

Cloud Video Production

Making this happen in the cloud could present challenges—especially when full-resolution video files are involved. However, we have leveraged a lot of technology to make this cloud-based clip retrieval happen without any latency.

One important strategy has been using proxies tied by their timestamps to the corresponding full-resolution video frames. Doing so makes it easy to scan frame-by-frame backwards and forwards through clips if it’s necessary to deviate from the originally text-identified in and out points of clips.

In a sense, this TVU MediaMind AI engine-based clipping method brings things full circle, relying on timecode, random access and non-linear in a whole new way. However, enhanced by AI-driven speech-to-text transcription, this new way to find clips is far easier and much more natural than anything that’s come before.

Start a Discussion

For any information on this case or for any enquiries on the above products

We can help


查看了此条博客的人还看了

【论文转载】5G 超低延时及虚拟技术在远程节目制作中的应用

本文探讨了在节目制作中将 5G 超低延时和虚拟技术相结合的应用。通过利用 5G 超低延时技术,实现了高画质信号的低延时传输,同时结合虚拟技术,实现了异地同屏的效果,使得北京的代表委员与南昌的观察员能够无缝连接,共话两会。文章结合实例,介绍了主要设备和系统搭建的过程,并分享了在项目实施过程中遇到的问题及解决方案。...

TVU One 助力 SMT 打造 LV “非凡之旅”大秀直播

基于多年的深度合作经验,团队能够充分发挥TVU 技术优势,确保直播信号的优质传输和精准制作。整个直播流程从信号采集到最终播出,都体现了现代直播技术在复杂环境下的卓越表现。...

TVU One为美联社记者报道以伊冲突保驾护航

传统直播设备难以满足这种高要求的移动报道需求,美联社经过多种方案比较,最终选择了来自TVU TVU One便携式直播背包,随记者团队前往特拉维夫开展新闻采集和直播报道。...

Close
🚀 作为您的TVU智能接待机器人,我在此为您的直播解决方案提供建议! 马上和我聊天吧! 点击开始聊天!
18855ssssssssssss