3. Defining Intelligent Video: Place-shifting, Time-shifting, & Para-shifting
Intelligent video is the threshold at which video content can self-organize and process in parallel to an audience’s conscious awareness, a development enabled by the synthesis of smarter wearable devices (ie. Apple Watch), the acceleration of IoT / ambient computing, & a more robust cloud infrastructure. It customizes content experiences based on real-time user-generated metrics — things like heart rate, position within the room, etc.
To better understand what this looks like on the consumer level, consider Steve, 52, a busy exec who, like lots of people, wants to lose weight. He’s always traveled with his iPhone and Macbook, but recently purchased an Apple Watch as well after hearing about an intelligent video fitness app called Dueo (just made this up):
Steve’s first step — upload as much fitness-oriented data into his watch as possible:
Based on Steve’s weight, age, and medical records, his watch already knows his ideal resting heart rate, his REM cycles at night, that he has high blood pressure, that he favors his right side when cycling uphill due to an old knee injury, etc. And since Steve has always jogged with his phone, his watch understands that he prefers to workout in the morning, that his anaerobic strength increases an average of 17% during the summer months, and so on.
After the watch is set up, Steve uses his laptop to access the Dueo website. He doesn’t have much time for exercise this particular morning, but his watch is already well aware of that, since it has access to his calendar, so Dueo only suggests workouts that are 15 minutes or less, which still leaves him with enough time for his normal routine to get out the door. And even though the app has a hunch what type of activities Steve will prefer right now, it stills offers several workout categories for him to choose from — strength, aerobic, flexibility, mixed bag, and weight loss. He chooses the latter, weight loss, as Dueo had predicted he would. Noted.
A video fades up from the Dueo website on the laptop (although if Steve prefers a larger display, he could watch on the bigger smart TV in the corner of the room by transferring the content stream from one device to another with a singular movement of his arm wearing the smart watch (ie. gesture-input via accelerometer)).
The video feed continues — a female trainer appears and introduces herself, then begins the workout with a set of jumping jacks. Dueo already understands that the most valuable thing it can accomplish in this situation in regard to Steve’s goals (given his current metrics, goals, and schedule) is to keep his heart rate between 101-126 beats per minute.
As Steve starts doing jumping jacks, a feedback loop is generated:
As the trainer & Steve finish the set, Dueo app takes advantage of the transition going into the next excercise — push ups — to surreptitiously increase the intensity of his exercise with a seamless edit. So, even though Steve is determining the content of the video with his heart rate, his influence is not a manual nor even conscious process for him. It’s more of something he feels rather than something he decides or does.
During the set of push-ups, which have increased in cadence ‘two units’ relative to the jumping jacks (more on this in the next section), Steve starts to struggle and his heart rate rises just beyond his target zone. The intelligent video feedback loop now scales the workout back down again:
So, in this manner, the intelligent video platform can anticipate, respond, record, analyze, and optimize with a rudimentary (at first) ‘nervous system.’
A few weeks from now, Dueo will understand even more about Steve’s routines, fitness level, goals, rate of progress, etc., since it will learn from his experiences and data history — for example, does he respond particularly well to this trainer? or would a different trainer be more effective? do weight loss workouts make him too tired in the afternoons when he has a long day of meetings? maybe he should do yoga on busy days? etc. etc. etc.
Intelligent video will emerge from a synthesis of:
- more advanced wearable devices;
- rise of ‘internet of things’ / ambient computing;
- better cloud infrastructure.
Intelligent video will:
- encourage embedded integration
- increase context awareness
- maximize personalization
- simplify adaptability
Intelligent video introduces visual para-shifting (note from trav: elaborating on this soon . . . ):
- place-shifting = cinema, television
- place-shifting + time-shifting = VCR (see “Betamax” supreme court case for the etymological origin of the legal term “time-shifting”), digital era, mobile era
- place-shifting + time-shifting + para-shifting = intelligent video
Para-shifting is the key difference between mobile’s “anywhere” and intelligent video’s “everywhere.”