Video Object Segmentation: A Compressed Domain Approach

Author:

Babu R.V.,Ramakrishnan K.R.,Srinivasan S.H.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Cited by 74 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unified Architecture Adaptation for Compressed Domain Semantic Inference;IEEE Transactions on Circuits and Systems for Video Technology;2023-08

2. Sievenet: An Efficient Model Utilizing H.265 Codec Structure for Video Object Detection;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

3. A Compressive Prior Guided Mask Predictive Coding Approach for Video Analysis;Computer Vision – ACCV 2022;2023

4. Deep Learning Based Image Segmentation Directly in the JPEG Compressed Domain;2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2021-11-11

5. Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

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