Articles with "video semantic" as a keyword



Photo by mattykwong1 from unsplash

Wireless Deep Video Semantic Transmission

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2022.3221977

Abstract: In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels. The proposed methods exploit nonlinear transform and conditional coding architecture to adaptively… read more here.

Keywords: semantic transmission; deep video; video semantic; transmission ... See more keywords
Photo by alterego_swiss from unsplash

UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information

Sign Up to like & get
recommendations!
Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3069909

Abstract: Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability of these decision support systems is dependent on the accuracy of the… read more here.

Keywords: uvid net; temporal information; video semantic; semantic segmentation ... See more keywords
Photo from wikipedia

Distortion Map-Guided Feature Rectification for Efficient Video Semantic Segmentation

Sign Up to like & get
recommendations!
Published in 2023 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3136085

Abstract: To leverage the strong cross-frame relations of videos, many video semantic segmentation methods tend to explore feature reuse and feature warping based on motion clues. However, since the video dynamics are too complex to model… read more here.

Keywords: video semantic; segmentation; distortion map; video ... See more keywords
Photo from wikipedia

A feature selection framework for video semantic recognition via integrated cross-media analysis and embedded learning

Sign Up to like & get
recommendations!
Published in 2019 at "EURASIP Journal on Image and Video Processing"

DOI: 10.1186/s13640-019-0428-5

Abstract: Video data are usually represented by high dimensional features. The performance of video semantic recognition, however, may be deteriorated due to the irrelevant and redundant components included into the high dimensional representations. To improve the… read more here.

Keywords: video; feature; video semantic; media analysis ... See more keywords