IEEE Transactions on Image Processing

E2830
academic journal engineering journal peer-reviewed journal scientific journal

IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
IEEE Trans. Image Process. 1
IEEE Transactions on Image Processing canonical 1

Statements (49)

Predicate Object
instanceOf academic journal ⓘ
engineering journal ⓘ
peer-reviewed journal ⓘ
scientific journal ⓘ
audience academics ⓘ
engineers ⓘ
practitioners in image and video processing ⓘ
researchers ⓘ
category IEEE journal ⓘ
computer vision journal ⓘ
signal processing journal ⓘ
countryOfPublication United States of America ⓘ
surface form: United States
discipline computer science ⓘ
electrical engineering ⓘ
field image processing ⓘ
video processing ⓘ
focus computer vision related methods ⓘ
image analysis ⓘ
image processing algorithms ⓘ
image processing applications ⓘ
multidimensional signal processing ⓘ
theory of image processing ⓘ
video processing algorithms ⓘ
video processing applications ⓘ
format monthly issues ⓘ
hasAbbreviation IEEE Transactions on Image Processing self-linksurface differs ⓘ
surface form: IEEE Trans. Image Process.
hasContentType letters ⓘ
research articles ⓘ
surveys ⓘ
technical correspondence ⓘ
indexingService Ei Compendex ⓘ
INSPEC ⓘ
surface form: Inspec

Science Citation Index ⓘ
Scopus ⓘ
language English ⓘ
medium online ⓘ
print ⓘ
publishedBy IEEE Signal Processing Society ⓘ
publisher Institute of Electrical and Electronics Engineers ⓘ
surface form: IEEE

Institute of Electrical and Electronics Engineers ⓘ
reviewProcess peer-reviewed ⓘ
topic image compression ⓘ
image enhancement ⓘ
image recognition ⓘ
image restoration ⓘ
image segmentation ⓘ
multimedia signal processing ⓘ
video analysis ⓘ
video coding ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: IEEE Transactions on Image Processing
Description of subject: IEEE Transactions on Image Processing is a leading peer-reviewed scientific journal covering theory, algorithms, and applications in the field of image and video processing.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

IEEE Signal Processing Society → publishes → IEEE Transactions on Image Processing ⓘ
IEEE Transactions on Image Processing → hasAbbreviation → IEEE Transactions on Image Processing self-linksurface differs ⓘ
this entity surface form: IEEE Trans. Image Process.