The increasing capabilities and decreasing costs of cameras has greatly expanded the amount of image and video data collected by analysts. Often, there is far more data than manual analysis can handle, and training personnel with the required expertise can be costly and error-prone. Computer vision and machine learning can help, but creating an operationally viable solution usually requires deep learning expertise, large amounts of labeled training data, and software engineering skills.

To address these challenges, we have developed an open-source toolkit, Video and Imagery Analytics for Marine Environments (VIAME; github.com/VIAME). VIAME includes a wide range of image and video analysis capabilities such as target detection and classification, tracking, image classification and image registration. VIAME enables the rapid integration of new visual analytics, and includes user interfaces, databases and evaluation/scoring capabilities. More significantly, VIAME includes the capability for users to create new analytics, specific to their problems, through user interfaces, without any programming or knowledge of deep learning. Through video search and interactive query refinement, users can quickly build a model for a novel classification problem by providing positive/negative feedback on search examples suggested by the system, and then run it on any amount of imagery or video. For more challenging problems, users can manually annotate images and then train a deep learning detection and classification capability.

While originally created for maritime organism analytics (and funded by NOAA National Marine Fisheries Service), on ongoing ONR and AFRL grants we have recently added a number of features to its interfaces specific to aerial video processing including multiple vessel detection and tracking, high-value target tracking, 3d-model generation around vessels, and a new web interface for training detection or tracker models to compliment existing desktop interfaces.


VIAME - An Open Source Video Analytics Toolkit for the Maritime Environment

These live Q&A sessions will take place in our Gather.Town lounge. Once you click the gathertown button below, you will need to navigate to the areas located to the left in the lounge. Enter the designated area listed below each Q&A.

**Date & Time:** Thursday, March 25th 8:15-9:00am PDT

**Location:** **AREA 1 **

**Title:** Reinforcement Learning: Frameworks and Applications

**Time:** 8:15am PDT

**Speaker:** [Jerome Nilmeier](https://www.underline.io/speakers/77557-jerome-nilmeier)

[![](https://assets.underline.io/uploads/markdown_image/1/image/c7e88505bb752c494a40c43a7f560168.png)](https://gather.town/app/5IAViMZXC9ZF4E4l/NAML)

**Location:** **AREA 2 **

**Title:** Denoising Signal Using Autoencoder

**Time:** 8:30am PDT

**Speaker:** [Donovan Lo](https://www.underline.io/speakers/77544-donovan-lo)

[![](https://assets.underline.io/uploads/markdown_image/1/image/722aea2c86d9dba9fcf527b54d20e092.png)](https://gather.town/app/5IAViMZXC9ZF4E4l/NAML)

**Location:** **AREA 3 **

**Title:** VIAME - An Open Source Video Analytics Toolkit for the Maritime Environment

**Time:** 8:45am PDT

**Speaker:** Matt Dawkins

[![](https://assets.underline.io/uploads/markdown_image/1/image/e35db3b90d4905c814cf082dceae6913.png)](https://gather.town/app/5IAViMZXC9ZF4E4l/NAML)

Tutorial Q&A / Demo Session 2A

invited talk

Naval Information Warfare Center Pacific is partnering with AFCEA San Diego chapter to host the workshop.

The NAML workshop is an opportunity for researchers from Navy research and development centers and our partner organizations to exchange technical ideas and to come together as a team.

The goals of NAML are:

* To spread awareness of current machine learning research relevant to Naval applications

* To connect machine learning researchers with experts in military requirements

* To build and strengthen collaborations within the defense research community

**Watch this video to hear about the AFCEA purpose.**

<iframe width=1280 height=706 frameborder="0" scrolling="no" src="https://screencast-o-matic.com/player/creleVVcvRh?v=6&ff=1&title=0&controls=1" allowfullscreen="true"></iframe>

Matt Dawkins

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VIAME - An Open Source Video Analytics Toolkit for the Maritime Environment

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