Search Results - "Image coding for machines"

Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection

Authors: Takahiro Shindo Taiju Watanabe Yui Tatsumi et al.

Source: IEEE Access, Vol 13, Pp 106606-106617 (2025)

Subject Terms: image coding for machines, image coding for image recognition, learned image compression, Edge-cloud system, Electrical engineering. Electronics. Nuclear engineering, image compression, TK1-9971

Access URL: https://doaj.org/article/d14ab3a47b4b48b4b40ecf119a98fc0a

Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks

Authors: Zhongpeng Zhang Ying Liu

Source: IEEE Access, Vol 13, Pp 45951-45963 (2025)

Subject Terms: image coding for machines, instance segmentation, CLIP, object detection, resize, Electrical engineering. Electronics. Nuclear engineering, down sample, TK1-9971

Access URL: https://doaj.org/article/41673f9dfbdc480484c57eee33136624

Side information-driven image coding for hybrid machine–human vision

Authors: Zhongpeng Zhang Ying Liu Wen-Hsiao Peng

Source: EURASIP Journal on Image and Video Processing, Vol 2025, Iss 1, Pp 1-24 (2025)

Subject Terms: Image compression, Side information, TK7800-8360, Image classification, Image coding for machines, Electronics, Semantic segmentation

Access URL: https://doaj.org/article/5fc134ba8d7e400e9edf6268664d6daf

Goal-Oriented Source Coding using LDPC Codesfor Compressed-Domain Image Classification

Authors: Aliouat, Ahcen Dupraz, Elsa Laboratoire d'Automatique et Signaux d'Annaba (LASA) et al.

Contributors: Aliouat, Ahcen Dupraz, Elsa Laboratoire d'Automatique et Signaux d'Annaba (LASA) et al.

Source: https://hal.science/hal-05243884 ; 2025.

Subject Terms: LDPC codes, FOS: Electrical engineering, Machine Learning (cs.LG), Information Theory (cs.IT), Computer Vision and Pattern Recognition (cs.CV), Artificial Intelligence (cs.AI), Image and Video Processing (eess.IV), GRU, RNN, Entropy coding, Image coding for Machines, Goal-oriented communications, Goal-oriented communications Image coding for Machines Entropy coding LDPC codes RNN GRU, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2503.11954; ARXIV: 2503.11954

Availability: https://hal.science/hal-05243884
https://hal.science/hal-05243884v1/document
https://hal.science/hal-05243884v1/file/2503.11954v1.pdf
https://doi.org/10.48550/arXiv.2503.11954

Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes

Authors: Aliouat, Ahcen Dupraz, Elsa Département Mathematical and Electrical Engineering (IMT Atlantique - MEE) et al.

Contributors: Aliouat, Ahcen Dupraz, Elsa Département Mathematical and Electrical Engineering (IMT Atlantique - MEE) et al.

Source: Proceedings of the 32nd European Signal Processing Conference ; EUSIPCO 2024: 32nd European Signal Processing Conference ; https://imt-atlantique.hal.science/hal-04682219 ; EUSIPCO 2024: 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.23919/EUSIPCO63174.2024.10715347⟩

Subject Terms: Goal-oriented communications, Image coding for Machines, Entropic coding, LDPC codes, RNN, [SPI]Engineering Sciences [physics]

Subject Geographic: Lyon, France

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2403.10202; ARXIV: 2403.10202

Availability: https://imt-atlantique.hal.science/hal-04682219
https://imt-atlantique.hal.science/hal-04682219v1/document
https://imt-atlantique.hal.science/hal-04682219v1/file/2403.10202v1.pdf
https://doi.org/10.23919/EUSIPCO63174.2024.10715347

Image coding for machines : Deep learning based post-processing filters

Authors: Ahonen, Jukka Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences Tampere University

Contributors: Ahonen, Jukka Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences Tampere University

Subject Terms: image compression, image coding for machines, learned compression, autoencoder, VVC, Master's Programme in Information Technology, machine learning, image processing, neural networks (information technology), signal processing, computer vision, filters

File Description: fulltext

Relation: https://trepo.tuni.fi/handle/10024/135417

Availability: https://trepo.tuni.fi/handle/10024/135417