Summarization of Wireless Capsule Endoscopy Video Using Deep Feature Matching and Motion Analysis
Conventional Wireless capsule endoscopy (WCE) video summary generation techniques apprehend an image by extracting hand crafted features, which are not essentially sufficient to encapsulate the semantic similarity of endoscopic images. Use of supervised methods for extraction of deep features from a...
Main Authors: | B. Sushma, P. Aparna |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9293302/ |
Similar Items
-
FIAS3: Frame Importance-Assisted Sparse Subset Selection to Summarize Wireless Capsule Endoscopy Videos
by: Weijie Xie, et al.
Published: (2023-01-01) -
From video summarization to real time video summarization in smart cities and beyond: A survey
by: Prashant Giridhar Shambharkar, et al.
Published: (2023-01-01) -
Towards Enhancing Keyframe Extraction Strategy for Summarizing Surveillance Video: An Implementation Study
by: Bashir Olaniyi Sadiq, et al.
Published: (2022-09-01) -
Video Summarization for Sign Languages Using the Median of Entropy of Mean Frames Method
by: Shazia Saqib, et al.
Published: (2018-09-01) -
Domain independent redundancy elimination based on flow vectors for static video summarization
by: Jesna Mohan, et al.
Published: (2019-10-01)