visual data processing

USAGE SUMMARY

The phrase "visual data processing" is correct and usable in written English.
It can be used in contexts related to the analysis and interpretation of visual information, often in fields like computer science, data analysis, or image processing. Example: "The software specializes in visual data processing, allowing users to extract meaningful insights from images and videos."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

In this letter, visual data processing is performed for each incoming event at the time it arrives.

Massachusetts Institute of Technology

The eight papers that have been selected for publication in this special issue (out of the twenty one submitted) present interesting new ideas on a number of topics related to visual data processing and analysis for cultural heritage applications.

EURASIP Journal on Image and Video Processing

The biomimetic approach used in numerous methods presented in this paper, especially for the contrasting phase, exploits the efficiency of visual data processing procedures that have been selected by natural evolution.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

Finally, our data show that visual information processing in high-level visual regions displays the properties necessary to produce the laterality effects that have been reported behaviorally, i.e. different processing of objects and faces when they are presented to the left visual field than when they are presented to the right visual field [20]-[22] [20]-[22]

Plosone

Because of technical problems, Rapid Visual Information Processing, One-Touch Stockings of Cambridge, and stop-signal data for one drug-dependent participant were unavailable.

American Journal of Psychiatry

First-stage feature computation and data rate reduction play a crucial role in an efficient visual information processing system.

EURASIP Journal on Advances in Signal Processing

Experts are impressed by the data, which they say will lead to a better understanding of visual information processing.

Science Magazine

A unified architecture for both predicting psychophysical data and real-world image processing would constitute a powerful theory for early visual information processing.

Neural Networks

Recent years have witnessed the dramatic evolution in visual data volume and processing capabilities.

IPSJ Transactions on Computer Vision and Applications

The present data provide further evidence for a general right visual field advantage in bottlenose dolphins for visual information processing.

Behavioural Processes

Rapid visual information processing task.

International Journal of Bipolar Disorders

Expert writing Tips

Best practice

In academic writing, clearly define the scope of "visual data processing" being discussed to avoid ambiguity.

Common error

Avoid using "visual data processing" as a catch-all term. Specify the precise techniques or methods employed for clarity and impact.

Linguistic Context

The phrase "visual data processing" functions as a noun phrase, often serving as the subject or object of a sentence. It describes a field or activity related to the manipulation and analysis of visual information. Ludwig AI confirms its correct usage.

Expression frequency: Rare

Frequent in

Science

60%

Academia

20%

News & Media

20%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "visual data processing" is a grammatically sound and usable phrase that describes the methods of extracting information from visual sources. Ludwig AI validates its correctness. While its usage is relatively rare, it is predominantly found in scientific and academic contexts. For clearer communication, consider specifying the type of processing when possible. Related terms such as "image data analysis" or "computer vision" may sometimes be more appropriate depending on the specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

image data analysis

Focuses specifically on the analysis of image data, a subset of visual data.

visual information processing

Emphasizes the processing of visual information, a slightly broader term.

image processing

A more general term referring to the manipulation of digital images.

computer vision

Deals with how computers can gain a high-level understanding from digital images or videos.

video analytics

Specifically focuses on the analysis of video data.

pattern recognition

A more abstract term related to identifying patterns in data, including visual data.

data visualization

Focuses on representing data in a visual format to facilitate understanding.

image understanding

Emphasizes the interpretation and comprehension of images by machines.

visual analytics

Combines automated data processing with visual representations to enable human understanding and decision-making.

spatial data analysis

Involves the analysis of data with spatial properties, which can include visual components.

FAQs

What is meant by "visual data processing"?

"Visual data processing" refers to the analysis, manipulation, and interpretation of data in visual formats, such as images and videos. It often involves techniques from computer vision, image processing, and data visualization.

How is "visual data processing" used in computer vision?

In computer vision, "visual data processing" is used to enable machines to "see" and understand images, allowing them to perform tasks like object recognition, image segmentation, and scene understanding.

What are some alternatives to saying "visual data processing"?

You can use alternatives like "image data analysis", "visual information processing", or "computer vision" depending on the specific context.

What is the role of "visual data processing" in data science?

"Visual data processing" helps in extracting meaningful insights from visual data sources, which can be used for tasks such as predictive modeling, pattern identification, and decision-making.