Tushar Banik
Biographic Data
| ID | 8968227 |
|---|---|
| NAME | Tushar Banik |
| GIVEN NAMES | Tushar |
| FAMILY NAME | Banik |
| SIGNATURE | BANIK T |
| AFFILIATIONS | ICFAI University, Tripura |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Hybrid Video Shot Boundary Detection
This system formulates a novel Shot Boundary Detection (SBD) approach by optimizing the biases and weights of the Feed forward Neural Network (FNN) using the Advanced Grasshopper Optimization Algorithm (AGOA). The way grass hopper swarms navigate in the na-ture served as the model for AGOA. A mathematical model is used to simulate how members of the swarm interact, taking into account factors like comfort zone, attraction, and repulsion. It detec…
Gwo-Atdl-SBD
Shot Boundary Detection (SBD) is an essential task in video content analysis but accurately detecting both abrupt and gradual scene changes is still a problem due to different lightings, camera motions, and varied scene contents. This paper introduces a hybrid framework named GWO-ATDL-SBD that combines Grey Wolf Optimizer (GWO) with adaptive temporal deep learning for performing robust shot boundary detection. At first, multi-cue features such as…
No prominent works on this page.
A Hybrid Video Shot Boundary Detection
This system formulates a novel Shot Boundary Detection (SBD) approach by optimizing the biases and weights of the Feed forward Neural Network (FNN) using the Advanced Grasshopper Optimization Algorithm (AGOA). The way grass hopper swarms navigate in the na-ture served as the model for AGOA. A mathematical model is used to simulate how members of the swarm interact, taking into account factors like comfort zone, attraction, and repulsion. It detec…
Gwo-Atdl-SBD
Shot Boundary Detection (SBD) is an essential task in video content analysis but accurately detecting both abrupt and gradual scene changes is still a problem due to different lightings, camera motions, and varied scene contents. This paper introduces a hybrid framework named GWO-ATDL-SBD that combines Grey Wolf Optimizer (GWO) with adaptive temporal deep learning for performing robust shot boundary detection. At first, multi-cue features such as…
Anomaly Detection Techniques and Applications (2 works) · Human Pose and Action Recognition (2 works) · Video Analysis and Summarization (2 works) · Artificial neural network (1 work) · Decision boundary (1 work) · Deep learning (1 work) · Feature extraction (1 work) · Histogram (1 work) · Object detection (1 work) · Optical Flow (1 work)