Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG-based Video Analysis System. Retrieved May 24, 2026, from https://4ort.xyz/entity/vita-an-efficient-video-to-text-algorithm-using-vlm-for-rag-based-video-analysis-system
MLA“ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG-based Video Analysis System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vita-an-efficient-video-to-text-algorithm-using-vlm-for-rag-based-video-analysis-system.
BibTeX@misc{4ortxyz_vita-an-efficient-video-to-text-algorithm-using-vlm-for-rag-based-video-analysis-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG-based Video Analysis System}}, year = {2026}, url = {https://4ort.xyz/entity/vita-an-efficient-video-to-text-algorithm-using-vlm-for-rag-based-video-analysis-system}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ViTA: An Efficient Video-to-Text Algorithm using VLM for RAG-based Video Analysis System — https://4ort.xyz/entity/vita-an-efficient-video-to-text-algorithm-using-vlm-for-rag-based-video-analysis-system (retrieved 2026-05-24)
