Home › Entities › academia › Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM

Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM

Research article (Multimedia Tools and Applications, 2023) · cited 11× · AI/ML
academia openalex:W4382241160
Press Enter · cited answer in seconds

Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM

Summary

Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM is a scholarly article[1].

Key Facts

  • Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm
MLA “Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm.
BibTeX @misc{4ortxyz_video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Video Captioning using Sentence Vector-enabled Convolutional Framework with Short-Connected LSTM — https://4ort.xyz/entity/video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/video-captioning-using-sentence-vector-enabled-convolutional-framework-with-short-connected-lstm · Last refreshed: