Hippo Video SDK
Description
Hippo Video SDK provides a complete video infrastructure that can be integrated into platforms with minimal code. It supports rapid deployment of video experiences, enabling developers to enhance their applications with video capabilities efficiently.
Resource details
- Category path
- Media Tools
- Classification
- Not yet classified
Hippo Video SDK is cataloged in Media Tools. Its topics include video infrastructure, SDK, Hippo Video, integration, and developer tool.
URL
Tags
Related resources
- GHVQ: Benchmark and Metric for AI-Generated Human-Activity Video QualityAcademic paper introducing a benchmark dataset and objective quality metric for AI-generated human-activity video, with companion code.
- VQA² (Visual Question Answering for Video Quality Assessment)ACM MM 2025 paper and code for VQA²-Assistant, a unified video/image quality scoring and interpretation model.
- SparseSync: Audio-Visual Synchronisation with Trainable SelectorsBMVC 2022 Spotlight paper and code for sparse-in-space-and-time audio-visual sync detection.
- AVT-VQDB-UHD-1-NVCDataset and code for 4K/UHD neural-video-codec quality evaluation, comparing VMAF, AVQBits, FasterVQA, CVQA-FR, LPIPS metrics.
- KVQ: NTIRE 2024 Short-form UGC Video Quality Assessment ChallengeCVPR NTIRE 2024 challenge dataset and code for short-form UGC video quality assessment, 600 videos/3600 processed clips.
- 2BiVQA: Double Bi-LSTM No-Reference Video Quality AssessmentNo-reference VQA model for UGC video using double Bi-LSTM, companion code to arXiv:2208.14774.
- Evaluating Video Quality Metrics for Neural and Traditional Codecs (4K/UHD-1)Academic comparison of VMAF, AVQBits, and FasterVQA no-reference quality metrics on 4K content.
- Bitrate Ladder Construction via Transfer Learning and Spatio-Temporal FeaturesML-based bitrate ladder optimization achieving 94.1% complexity reduction at only 1.71% BD-rate cost using transfer learning.
- VMAF-torchPyTorch reimplementation of VMAF metric, GPU/gradient-friendly for use in learned codec optimization loops.
- CompressedVQA: Full/No-Reference VQA for Compressed UGC VideoICME 2021 grand challenge-winning full-reference and no-reference video quality models for compressed user-generated content.