How Deep Learning Video Sequence Drives Profits

Beyond the deep learning hype, digital video sequence (clipping) powered by machine learning is driving higher profits. Video publishers use various images (thumbnails – poster images) to attract readers to watch more video. These “Thumbnail Images” are critical, and the visual information has a great impact on video performance. The lead visual in many cases is more important than the headline. More view equals more revenue it’s that simple. Deep learning is having significant impact in video visual search to video optimization. Here we explore video sequencing and the power of deep learning.

Having great content is required, but if your audience isn’t watching the video then you’re losing money. Understanding what images resonate with your audience and produce higher watch rates is exactly what KRAKEN does. That’s right: show the right image, sequence or clip to your consumers and you’ll increase the number of videos played. This is proven and measurable behavior as outlined in our case studies. An image is really worth a thousand words.

Below are live examples of KRAKEN in action. Each form is powered by a machine learning selection process. Below we describe the use cases for apex image, image rotation and animation clip.

Animation Clip:

KRAKEN “clips” the video at the point of APEX. Sequences are put together creating a full animation of a scene(s). Boost rates are equal to those from image rotation and can be much higher depending on the content type.

  • PROS
    • Consumer created clipping points within video
    • Creates more visual information vs. a static image
    • Highlights action scenes
    • Great for mobile and OTT preview
  • CONS:
    • More than one on page can cause distraction
    • Overuse can turn off consumers
    • Too many on page can slow page loading performance (due to size)
    • Mobile LTE is slow and can lead to choppy images instead of a smooth video

Image Rotation:

Image rotation allows for a more complete visual story to be told when compared to a static image. This results in consumers having a better idea of the content in the video. KRAKEN determines the top four most engaging images and then cycles through them. We are seeing mobile video boost rates above 50%.

  • PROS:
    • Smooth visual transition
    • Consumer selected top images
    • Creates a visual story vs. one image to engage more consumers
    • Ideal for mobile and OTT
    • Less bandwidth intensive (Mobile LTE)
  • CONS:
    • Similar to animated clips, publishers should limit multiple placements on a single page

Apex Image:

KRAKEN always finds the best lead image for any placement. This apex image alone creates high levels of play rates, especially in a click-to-launch placement. Average boost rates are between 20% to 30%.

  • PROS:
    • Audience-chosen top image for each placement
    • Can be placed everywhere (including social media)
    • Ideal for desktop
    • Good with mobile and OTT
  • CONS:
    • Static thumbnails have limited visual information
    • Once the apex is found, the image will never be substituted

Below are live KRAKEN animation clip examples. All three animations start with the audience choosing the apex image.  Then, KRAKEN identifies (via deep learning) clipping points and uses machine learning to adjust to optimal clipping sequence.

HitFix Video Deep Learning Video Clipping to Action Machine Learning

HitFix Video Deep Learning Video Clipping to Action, Machine Learning adjust in real time

Video players have transitioned to HTML5 and mobile consumption of video is the fastest growing medium. Broadcasters that embrace advanced technologies that adapt to the consumer preference will achieve higher returns, and at the same time create a better consumer experience. The value proposition is simple: If you boost your video performance by 30% (for a video publisher doing 30 million video plays per month), KRAKEN will drive an additional $2.2 million in revenue (See KRAKEN revenue calculator). This happens with existing video inventory and without additional head count. KRAKEN creates a win-win scenario and will improve its performance as more insights are used to bring prediction and recommendation to consumers, thereby increasing the video process.

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