Long video understanding has always been a challenge in the AI field, and traditional models are difficult to cope with redundant information and computing resource constraints. This article introduces a new technology called Goldfish, which achieves effective processing of videos of any length through an efficient retrieval mechanism and the assistance of MiniGPT4-Video. Not only can Goldfish extract key clips and generate accurate answers, it has also achieved leading results in multiple short video benchmark tests, demonstrating its powerful performance and broad application prospects. Next, we will delve into the technical details and practical application effects of Goldfish.
In the field of video understanding, traditional AI models can often only handle short videos, and are unable to cope with video content of several hours or even longer. This is mainly because these models encounter "noise and redundancy" and "memory and computation" limitations when processing long videos. Now, a new technology called Goldfish changes that.
Product entrance: https://top.aibase.com/tool/goldfish
Goldfish is a method specifically designed for processing videos of arbitrary length. It adopts an efficient retrieval mechanism that can first extract the top K video clips most relevant to the instructions from the long video, and then generate the final answer based on these clips. In this way, Goldfish can efficiently handle long video content such as movies or TV series.
To achieve this goal, the Goldfish team also developed MiniGPT4-Video, a tool that can generate detailed descriptions for video clips. By combining video frames and subtitles, MiniGPT4-Video can accurately understand the visual and textual information in the video, thereby improving the ability to process long videos.
In addition, the team also proposed TVQA-long, a benchmark test to evaluate the model's ability to understand long videos. Goldfish achieved an accuracy of 41.78% in this test, surpassing previous techniques.
Not only that, Goldfish also performs well in short video understanding. In multiple short video benchmarks such as MSVD, MSRVTT, TGIF and TVQA, Goldfish outperformed the existing state-of-the-art methods, demonstrating its strong strength in short video processing.
Goldfish successfully overcomes the problem of processing long videos through innovative retrieval mechanisms and efficient description generation methods, while also making significant breakthroughs in short video understanding.
**Emphasis added:**
Goldfish successfully processes videos of any length through its efficient retrieval mechanism and MiniGPT4-Video's description generation technology, solving the difficulties of traditional models in processing long videos.
In the TVQA-long benchmark test, Goldfish achieved an accuracy of 41.78%, surpassing the previous technical level and demonstrating its powerful processing capabilities.
Goldfish outperforms existing state-of-the-art methods on multiple short video benchmarks, demonstrating its comprehensive capabilities in short video understanding.
All in all, Goldfish has demonstrated significant advantages in both long and short video understanding, bringing new breakthroughs to the development of video understanding technology. Its efficient retrieval mechanism and powerful description generation capabilities make it an important technical direction for future video understanding applications. The emergence of Goldfish will undoubtedly promote video content analysis and understanding to a new stage.