We can think of video as the “ultimate” data-rich medium—it can effectively combine speech, text, and image data flows into a single coherent asset. This unmatched informational density means that even seemingly simple videos are incredibly rich sources of data

Consider a few seconds of a single video of two individuals talking. Large quantities of contextual information are contained in even this tiny snippet of video. First, we can learn about the location of the video. From background noise to visible background features, location tags, and more, videos offer clues as to geography and specific setting—store, home, mall, etc. Second, this video is rich in speech data. Everything from dialect and language used to the content of the speech itself can offer vital insights into a video. Finally, visual analysis needs to reflect the fact that each frame of video effectively constitutes an image. That means analysis for relevant details that may only appear for a moment.

Highly developed video collection and analysis capabilities are necessary to efficiently extract the maximum possible insight from this multifaceted medium.

Out-Innovate, Out-Compete and Out-Sell Your Competition

ZEN3’S APPROACH TO VIDEO DATA

Zen3 approaches video data annotation with the knowledge the extracting the full potential of video requires a detail-oriented analytical approach coupled with a proven process for navigating a substantial logistical obstacle: ensuring that human analysts apply coherent analytical standards to large volumes of video across diverse analytical categories.

Meeting this challenge efficiently requires analysts specifically trained on video annotation, a proven methodology for collecting and analyzing video data at an enterprise scale, and customized tools powered by machine-learning automation to ensure an efficient video data pipeline. While we employ automation in all data annotation efforts, its particularly essential in the video realm: analysts are tracking visual and audio data with a fine-toothed comb in a context where every frame matters.

A meticulous process helps get the most out of your video data, whether that’s simply to derive more analytical value from existing stocks of static video or as the foundation of a machine learning project of your own.

WHAT WE DO

Video Collection Services
  • Client defined data requirements analyzed by video specialists
  • Data requirements validated by ML experts
  • Collection supported in myriad environment types
  • Tooling and studio availability to heigh quality recording
  • Global reach collection and processing
Video Annotation Services
  • Annotation and labelling by Zen3 video ML Models
  • Further curation by human analysts with specialized video-knowedge
  • Monitoring and quality control by professionals with experience managing large volume enterprise video
  • Annotation on deep characteristics transcends simple labeling
Video Insight Services
  • Analysis covering subtle factors like sentiment, motivation, and background visual information
  • Custom labels and annotation for project specific needs with viedo specific details like time coding and frame placement
  • Live insight generation capable of delivering intelligence on real-time video streams

VIDEO DATA USE CASES

Privacy, protection & compliance

  • PII Redaction
  • PCI Redaction
  • Other Information Redaction
  • Regulatory Compliance Monitoring

Operational analytics and support

  • Safety and Security
  • Internal Productivity Evaluation
  • Operational Monitoring
  • Context-Driven Video Evaluation

Customer service and support

  • Customer Care Compliance
  • Automated intake for user-submitted videos
  • Video-Rich Customer Care Feedback
  • Analytical Insight into Video Conversations (from video chat or on-location recordings)

Sales and marketing

  • Analysis of video advertisements
  • Detailed information on video from social media and other sharing sites
  • Lead Generation via free or limited-trial video-driven services
  • Video-Driven Sales Representative Evaluation

Machine learning

  • Automated video data pipelines
  • Virtual assistants capable of reacting to live video
  • Long-term models improve accuracy over time
  • Video-powered chat bots that react to visual displays of emotion

HOW WE DO IT

We begin by identifying video data sets that fit our client’s needs for the project, tailoring our collection strategy to project needs. We collect data both by strategically acquiring it from private vendors and utilizing publicly available data sources. Our global network of videographers and video-data experts can support a large-volume of original video creation when called upon. Once acquired, data needs to be curated and organized, including verifying that any existing encored information is entirely accurate.

Once the data is stored and organized, analysis and annotation efforts can begin in earnest. To efficiently support large-scale data analysis efforts, Zen3 utilizes a proprietary AI-driven platform called Tangram. This platform provides a comprehensive suite of custom-designed tools and process automation designed specifically to streamline data collection and analysis efforts, including specialized tools for video data.

For clients that need assistance developing their own Machine Learning Models, we also know how to draw on our own experience to assist in developing an enterprise-grade self-learning platform from the ground up. Our Machine Learning model building services can help executive prototypical applications including building models to monitor and collect data from the web, real-time analysis for gathered data, and industry-specific models to provide more nuanced context.

DISCOVERY TO INSIGHT & MODERATION PROCESS

Video Requirements Analysis
Video Collection & Curation
Translation Transcription & Transliteration
ML Automated Labelling and Annotation
Human Annotion and Labelling with Quality Control
Convering and Automating ongoing Video Data Requirements
Video Data Moderation

ZEN3 VIDEO DATA SERVICE OFFERINGS

Our end-to-end video data collection capabilities ensure efficient delivery of high-quality video data, even in support of multiple large data gathering efforts in parallel. All data collection is custom-tailored to the specific needs of each project. When necessary, we generate original video via recording or video editing.

Our global network of videographers and editors can capture enterprise-quality video anywhere on earth—indoor or outdoor, day or night. We even support complex multi-perspective video capture for events like sports games and concerts. Prototypical video data types range from personal/social media streams to live events to archives of screen captures from enterprise contexts.

Our annotation and analysis process for video mines maximum insight from all aspects of video data, driving meticulously processed data capable of supporting machine learning models.

Prototypical instances of our value-added annotation include speaker identification, entity tagging, sentiment analysis, contextualization and labeling, and more.

Even relatively routine moderation efforts-like ensuring the user generated videos don’t contain profane or offensive content, for instance—require a robust data pipeline. Automation streamlines this process to be far less cumbersome, while human analysts provide for more nuanced judgment calls.
From ensuring videos fulfil corporate policies, to ensuring relevance to the task at hand, Zen3 offers real-time image video data management at any scale, anywhere on earth.

Video Data Collection Services

Our end-to-end video data collection capabilities ensure efficient delivery of high-quality video data, even in support of multiple large data gathering efforts in parallel. All data collection is custom-tailored to the specific needs of each project. When necessary, we generate original video via recording or video editing.

Our global network of videographers and editors can capture enterprise-quality video anywhere on earth—indoor or outdoor, day or night. We even support complex multi-perspective video capture for events like sports games and concerts. Prototypical video data types range from personal/social media streams to live events to archives of screen captures from enterprise contexts.

Annotation and Labelling Services

Our annotation and analysis process for video mines maximum insight from all aspects of video data, driving meticulously processed data capable of supporting machine learning models.

Prototypical instances of our value-added annotation include speaker identification, entity tagging, sentiment analysis, contextualization and labeling, and more.

Video Data Moderation Services

Even relatively routine moderation efforts-like ensuring the user generated videos don’t contain profane or offensive content, for instance—require a robust data pipeline. Automation streamlines this process to be far less cumbersome, while human analysts provide for more nuanced judgment calls.
From ensuring videos fulfil corporate policies, to ensuring relevance to the task at hand, Zen3 offers real-time image video data management at any scale, anywhere on earth.

OUR VIDEO EXPERTISE

160,000,000+

Successful AI Data Items Delivered

45+

Successful AI & Data Projects

200+

Expert Annotators

100%

PII Compliant

Pan India, US & EU

Coverage

>90%

Data Acceptance and Accuracy 
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TEXT
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