Scalable Image Deduplication With Spark

Make sure to check out the databricks notebook for this post! Modern internet companies maintain many image/video assets rendered at various resolutions to optimize content delivery. This demand gives rise to very interesting optimization problems. Groups like Netflix have even taken steps to personalize the images presented to each user, but as they describe, this involves subproblems in organizing the collection of images. In particular, Netflix researchers described extracting image metadata to help cluster near duplicate images so they could more efficiently apply techniques like contextual bandits for image personalization....

 · 2 min · Terry Rodriguez & Salma Mayorquin

Image Inpainting for Content Localization

In a prior post, we explored training StyleGAN2 on a corpus of many theatrical posters we scraped from places like IMDb. Then we considered applications of StyleGAN2 for image retrieval after extracting embeddings by projecting our corpus to the latent factor space. These image retrieval techniques can form the basis of personalized image recommendations. Netflix engineering posted on how they partner with their content creation team to test artwork for driving user engagement....

 · 3 min · Terry Rodriguez & Salma Mayorquin

Deepfake Detection With NVIDIA TLT 3.0 and DeepStream SDK

Last year, over 2 thousand teams participated in Kaggle’s Deepfake detection video classification challenge. For this task, contestants were provided 470 GB of high resolution video and required to submit a notebook which predicts whether each sample video file has been deepfaked with a 9 hour run-time limit. Since most deepfake technology performs a faceswap, contestants concentrated around face detection and analysis. Beginning with face detection, contestants could develop an image classifier using the provided labels....

 · 5 min · Terry Rodriguez & Salma Mayorquin

Movie Trailer Similarity for Recommendation

Intro In a previous post, we discussed scraping a movie poster image corpus with genre labels from imdb and learning image similarity models using tensorflow. In this post, we extend this idea to recommend movie trailers based on audio-visual similarity. Data We started by scraping IMDB for movie trailers and their genre tags as labels. Using Scrapy, it is easy to build a text file of video links to then download with youtube-dl....

 · 4 min · Terry Rodriguez & Salma Mayorquin

Scraping Smarter with Content Filtering

Scrapy is a powerful web scraping framework and essential tool for building machine learning datasets. When a site has a particularly simple structure, scrapy makes it easy to get a spider running to build up a curated dataset. Check out the tutorials in scrapy’s documentation. For example, to train a poster similarity model, we first needed to gather many movie posters. Consider trying to scrape IMDb.com.We may be interested in gathering posters from <img> tags under <div> tags with the class "poster"....

 · 3 min · Terry Rodriguez & Salma Mayorquin