Enhancing Bangla video comprehension through multimodal feature integration and attention-based encoder-decoder captioning models for single-action videos

Enhancing Bangla video comprehension through multimodal feature integration and attention-based encoder-decoder captioning models for single-action videos

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliographische Detailangaben
Hauptverfasser: Das, Saurav, Biswas, Shammo, Fahim, Taimoor, Sanjan, M.A.B. Siddique, Tarannum, Tasnia Alam
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2024
Schlagworte:
Video captioning
Bangla language
Video processing
Natural language processing
Feature fusion
Encoder-decoder framework
Multimodal fusion
GRU-Gaussian attention model
CIDEr score
Natural language processing (Computer science).
Neural networks (Computer science).
Online Zugang:http://hdl.handle.net/10361/24342

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