Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 17, 2026

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis
12:01

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis

Published on: August 2, 2013

Saliency-based image processing for retinal prostheses.

N Parikh1, L Itti, J Weiland

  • 1Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA. njparikh@usc.edu

Journal of Neural Engineering
|January 16, 2010
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Streamlining Care: Effective Approaches to Decreasing Observation Status Length of Stay in Community Medical Centers.

Journal for healthcare quality : official publication of the National Association for Healthcare Quality·2026
Same author

Serum concentration-guided intravenous magnesium sulfate administration for neuroprotection in patients with aneurysmal subarachnoid hemorrhage: a retrospective evaluation of a 12-year single-center experience.

Neurosurgical review·2023
Same author

Sawadaea tulasnei Powdery Mildew of Norway Maple (Acer platanoides) in North America.

Plant disease·2019
Same author

Management of anesthesia for cesarean delivery in a patient with an unruptured intracranial aneurysm.

International journal of obstetric anesthesia·2018
Same author

Editorial: ultrasound surveillance of hepatocellular carcinoma in the 21st century - authors' reply.

Alimentary pharmacology & therapeutics·2017
Same author

The increased cost of ventral hernia recurrence: a cost analysis.

Hernia : the journal of hernias and abdominal wall surgery·2016
Same journal

Cortex-anchored sensor-space harmonics for event-related EEG.

Journal of neural engineering·2026
Same journal

Neural mechanisms of mixed speech and grasp representation in sensorimotor cortices.

Journal of neural engineering·2026
Same journal

Developing a binary communication protocol between biological neural networks using virtual white matter.

Journal of neural engineering·2026
Same journal

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation.

Journal of neural engineering·2026
Same journal

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same journal

Functional and effective connectivity methods from SEEG for characterizing epileptogenic networks in refractory epilepsy: a comprehensive review and future directions.

Journal of neural engineering·2026
See all related articles

We developed a faster computational model for image saliency detection, aiding retinal prosthesis users by highlighting important visual areas. This efficient model significantly improves processing speed for wearable systems.

Area of Science:

  • Computer Vision
  • Biomedical Engineering
  • Image Processing

Background:

  • Retinal prostheses aim to restore vision but face limitations in field of view and resolution.
  • Identifying salient regions in visual scenes is crucial for guiding attention and perception.
  • Existing saliency detection models may be too computationally intensive for real-time application on wearable devices.

Purpose of the Study:

  • To develop a computationally efficient saliency detection model for integration with wearable systems.
  • To enhance the functionality of retinal prostheses by identifying visually important objects.
  • To improve the real-time performance of saliency detection algorithms.

Main Methods:

  • A novel saliency detection model was designed with a reduced number of parallel streams compared to a previous model.

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
10:00

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks

Published on: February 14, 2015

Related Experiment Videos

Last Updated: Jun 17, 2026

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis
12:01

Techniques for Processing Eyes Implanted With a Retinal Prosthesis for Localized Histopathological Analysis

Published on: August 2, 2013

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks
10:00

Techniques for Processing Eyes Implanted with a Retinal Prosthesis for Localized Histopathological Analysis: Part 2 Epiretinal Implants with Retinal Tacks

Published on: February 14, 2015

  • The model was implemented on a portable, wearable system.
  • Performance was evaluated by comparing algorithm-detected salient regions with human gaze data.
  • Execution speed was benchmarked on a TMS320 DM642 Digital Signal Processor.

    • Main Results:

    • The proposed model demonstrated a correspondence with human gaze patterns exceeding chance levels.
    • The new model showed approximately a tenfold increase in execution speed compared to the original model.
    • The computationally efficient design is suitable for real-time processing on embedded systems.

    Conclusions:

    • The developed model offers a significant speed improvement for saliency detection.
    • This efficient model holds promise for enhancing the capabilities of retinal prostheses.
    • Further research can explore its application in other assistive technologies requiring real-time visual attention guidance.