VideoWise

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Learn everything you need to know about Video Marketing via these 63 free HackerNoon stories.

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Imagine two very different technology futures. In one, we continue on the same path of centralized video delivery platforms — a world where video is stored, transcoded, and distributed from mammoth data centers owned by Facebook, Amazon, and Google. Or another, where video is distributed across a network of decentralized nodes — a world where video (information) is not under the mercy of some single authority.

Decentralized censorship-resistant video will transform our society.

The key innovation proposed is decomposing multi-scene video generation into two steps: a director step and a "film" step.

UNC Presents VideoDirectorGPT: Advancing Multi-Scene Video Generation with AI

This tutorial shows you how to automatically generate visuals and voiceovers for short videos based on any script. 

How to Use ElevenLabs and OpenAI to Automate Faceless Shorts Video for YouTube and TikTok

A dive into multi-modal embedding and frame search, two advanced video search techniques

Building Advanced Video Search: Frame Search Versus Multi-Modal Embeddings

In this paper, researchers model movies as graphs to generate trailers, identifying narrative structure and predicting sentiment, surpassing supervised methods.

Film Trailer Generation via Task Decomposition: Problem Formulation

In this paper, researchers introduce VEATIC dataset for human affect recognition, addressing limitations in existing datasets, enabling context-based inference.

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset: Related Work

VideoWiseis in the E-Commerce Enablers Industry

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