# Fusionista2.0: Efficiency Retrieval System for Large-Scale Datasets

arXiv: https://arxiv.org/abs/2511.12255 · HTML: https://mlsanity.com/paper/2511.12255/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 15 of its 27 references that are in the map.
- First posted on arXiv 15 Nov 2025.

## Builds on (most cited first, 15 of 15)

- [Learning Transferable Visual Models From Natural Language Supervision](https://mlsanity.com/paper/2103.00020/) (2021)
- [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://mlsanity.com/paper/2301.12597/) (2023)
- [Efficient Memory Management for Large Language Model Serving with PagedAttention](https://mlsanity.com/paper/2309.06180/) (2023)
- [Robust Speech Recognition via Large-Scale Weak Supervision](https://mlsanity.com/paper/2212.04356/) (2022)
- [LLaVA-OneVision: Easy Visual Task Transfer](https://mlsanity.com/paper/2408.03326/) (2024)
- [InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://mlsanity.com/paper/2312.14238/) (2023)
- [Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding](https://mlsanity.com/paper/2306.02858/) (2023)
- [TransNet V2: An effective deep network architecture for fast shot transition detection](https://mlsanity.com/paper/2008.04838/) (2020)
- [Democratizing Contrastive Language-Image Pre-training: A CLIP Benchmark of Data, Model, and Supervision](https://mlsanity.com/paper/2203.05796/) (2022)
- [V3C - a Research Video Collection](https://mlsanity.com/paper/1810.04401/) (2018)
- [Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese](https://mlsanity.com/paper/2408.12480/) (2024)
- [VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering](https://mlsanity.com/paper/2312.12273/) (2023)
- [Marine Video Kit: A New Marine Video Dataset for Content-based Analysis and Retrieval](https://mlsanity.com/paper/2209.11518/) (2022)
- [Large Model based Sequential Keyframe Extraction for Video Summarization](https://mlsanity.com/paper/2401.04962/) (2024)
- [GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset](https://mlsanity.com/paper/2506.11356/) (2025)

## Abstract (arXiv)

The Video Browser Showdown (VBS) challenges systems to deliver accurate results under strict time constraints. To meet this demand, we present Fusionista2.0, a streamlined video retrieval system optimized for speed and usability. All core modules were re-engineered for efficiency: preprocessing now relies on ffmpeg for fast keyframe extraction, optical character recognition uses Vintern-1B-v3.5 for robust multilingual text recognition, and automatic speech recognition employs faster-whisper for real-time transcription. For question answering, lightweight vision-language models provide quick responses without the heavy cost of large models. Beyond these technical upgrades, Fusionista2.0 introduces a redesigned user interface with improved responsiveness, accessibility, and workflow efficiency, enabling even non-expert users to retrieve relevant content rapidly. Evaluations demonstrate that retrieval time was reduced by up to 75% while accuracy and user satisfaction both increased, confirming Fusionista2.0 as a competitive and user-friendly system for large-scale video search.