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Automatic Video Authoring with Media Analysis

Automatic Video Authoring with Media Analysis. 2003/11/25 Chen-hsiu Huang Advisor: Dr. Ja-Ling Wu. Outline. Problem formulation Solutions and framework Expectations Status report Demonstration Questions and discuss. Problem Formulation.

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Automatic Video Authoring with Media Analysis

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  1. Automatic Video Authoring with Media Analysis 2003/11/25 Chen-hsiu Huang Advisor: Dr. Ja-Ling Wu

  2. Outline • Problem formulation • Solutions and framework • Expectations • Status report • Demonstration • Questions and discuss

  3. Problem Formulation • The digital video capture devices such as DVs are made more affordable for end users. • It’s interesting to shoot videos but frustrating for editing them. • There’s still a tremendous barrier between amateurs (home users) and the powerful video editing software. • Finally people leave their precious shots in piles of DV tapes without editing and management. • Type I home video: memorial • Type II home video: recreational

  4. According to a survey on DVworld*, the relations between the video length and how many times will user review them after days: • People are inpatient for videos without scenario or voice-over, especially for those with no music. • Video clips with no more then 5 minutes are best for human’s concentration. *http://www.DVworld.com.tw/

  5. Solutions and Framework • A consumer product called “muvee autoProducer” has been announced to ease the burden of professional video editing. • The application scenario is quite simple: • Pickup a video  Choose your music  Produce musical video! • Although there are commercial products in the market, only few academic publications related. • Goal: To achieve the near or beyond quality in the similar application scenario with the content-analysis technologies developed in multimedia domain. Jump!

  6. Currently finished Input video Alignment Input music Output Video Audio rhythm & Video motion/color synchronization Scene selection Key shot selection Volume ZCR Brightness Bandwidth … Framework of AVAMA system Audio segment cutting Shot change Scene change Human face Flash light Motion strength Color variance Edgeness ...

  7. Expectations • Quality results • Time & space complexity consideration • Must not take too longer to make a video • Must not consume too much memory • Complete consumer software implementation • Deal with MPEG-1/2 videos and MPEG-1 Layer 1/2/3 audios directly without pre-processing • Simple application scenario to produce videos • The need of different profile? • Is semi-automatic necessary?

  8. Status Report • Audio Cutting: • Cutting with zero-crossing rate (not so good) • Cutting with dramatic volume change (great results) • Brightness, bandwidth, ... • Video Segmentation: • Shot change detection by pixel MAD • Detect scenes with flash light event • Detect fast motion scenes • Longer fast motion scenes means author’s tracing some objects • Short fast motion scenes may due to • Detect human face information (time complexity?)

  9. Demonstration

  10. Questions and Discuss • Any comments are welcomed. • Special thanks for Mr. 劉嘉倫, for his videos and suggestions.  • Thanks friends in DVworld who provide lots of ideas and comments.

  11. Create Music Videos using Automatic Media Analysis, ACM Multimedia, 2002

  12. Let’s see its demo! Back

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