How-to Custom Upload Media

Overview

VIDIZMO, a top-tier enterprise video platform, offers a feature that enables users to upload media with personalized processing options. This means that you have the ability to set specific processing configurations for your media at the time of uploading, such as transcoding and generating AI Insights. Transcoding optimizes your media for various devices and platforms, making sure they are delivered in the highest quality and format, while generating AI insights from different forms of media is critical for automatically extracting valuable information and keeping up with today's fast-paced and data-driven environment. The option to choose the processing settings for each piece of media provides users with more control and flexibility over their media and can also help them save money and time.

VIDIZMO now gives you the power to select custom processing settings while uploading your media. You can choose whether to transcode your media or extract AI Insights. With this new feature, users can pick the option that best fits their needs for each individual piece of media, providing a more personalized and efficient experience. To learn more about this feature, see: Understanding Custom Upload Media

Before you start

• Contributor+ roles have the permission to upload media.

Steps

   i. From the Portal's Homepage:

1. Click on the navigation menu on the top left of your screen.
2. Expand the Admin tab.
3. Click on Portal Settings and you'll be directed to the Portal Settings page.

ii. On the Portal Settings screen:

1. Click on Library
2. Click on Upload Settings within Library
3. Click on “Allow user to upload content with custom processing options” checkbox.
4. Click on Update button.
5. You will be notified that Portal Settings have been updated.

iii. Now Navigate back to Evidence Library and Upload you content by following below steps

1. Click on the navigation menu on the top left of your screen.
2. Click on Home

         3. Click on + New drop-down.

         4. Select Custom Settings Upload.

          5.Select your media that you want to upload and click on the Open button.

          6. You will be direct to settings page.

          7. Click on Processing tab.

          8. You will be asked if you want to transcode your selected media and whether you want to generate AI Insights from                 your media.

           9.Click on check box of Transcode and Generate AI Insights. Selecting Generate AI Insights will open further settings.

Other settings depend on the Content Processing Application configured in your portal. The settings can vary from Application to Application.

iv. When Azure Indexer Classic or ARM Is configured:

1. You can select the source language of your selected media. Select option to auto detect when single unknown source language. Auto detect multi language will automatically detect the spoken language. You do not have to select specific source language when auto detect in enabled.
2. You can select the language in which you want your Insights to be translated.
3. This parameter is for defining an AI bundle to apply to your audio or video file and configuring the indexing process.

By default, both audio and video are used to index and extract insights. However, there are other options available: using only audio to index and extract insights while ignoring video, using only video to index and extract insights while ignoring audio, or using only basic audio features such as transcription, translation, and caption/subtitle formatting.

        4. Azure Indexer Application supports below Insights.

Label Detection, Face Recognition, Speaker Identification, Transcription/CC, Tags, Optical Character Recognition, Emotions, Sentiments, Topics, Keywords, Brands

v. When VIDIZMO Indexer Application Is configured:

1. VIDIZMO Indexer Application supports below Insights.

Face Detection, Person Detection, Bike Detection, Bus Detection, Car Detection, License Plate Detection, Truck Detection, Gun Detection, and Optical Character Recognition. When Face Detection is selected, you have the option to make attribute predictions. The attributes you can select from are Age, Gender and Race.

vi. When Azure Cognitive Services Application Is configured:

1. Select the language of your source content.
2. Select the language(s) which you want to be detected when auto detection is On.
3. Select the Language against which you want to run OCR.

vii. When Amazon Web Services Video Indexer Application Is configured:

1. You can select the source language of your selected media from the list. Here, auto-detection is not available.

Note: VIDIZMO Indexer Application can be configured along with one of the other applications at the same time. In this scenario, Insights from both the Applications will be displayed.

viii. When you’re done with the settings

1. Click on Save & Process button.

Processing will start on the selected media and your content will be removed from the queue.

Bulk Edit & Process Media

You can also bulk edit your content by following steps.

1. Click on bulk edit.
2. All your contents in the queue will be selected.
3. You will be directed to bulk edit settings.
4. You can also deselect any content or remove it from the queue.
5. Here you’ll be able to select deselect insights and all the settings will be applied to all the selected media.
6. Click on Save & Process

Processing will start on all the mashups. 

Note: When removing the mashup from queue or navigating away from the settings page, you will be asked to confirm if you want to remove media /navigate away because it will be processed based on the portal’s processing configurations.

Related Articles

How to Upload Media

Understanding Custom Upload Media

How to Configure Video Insights in VIDIZMO Portal using Azure Media Analyzer Classic

How to Configure Azure Cognitive Services for VIDIZMO

How to configure VIDIZMO Indexer for object detection

How to Configure Azure Media Services (AMS) Storage with AMS Standard Encoder using Setup Wizard

How to Configure Video Insights using Amazon Web Services (AWS)