Amanote Research

Amanote Research

    RegisterSign In

Perceptually-Aligned Frame Rate Selection Using Spatio-Temporal Features

doi 10.1109/pcs.2018.8456274
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2018

Authors
Angeliki V. KatsenouDi MaDavid R. Bull
Publisher

IEEE


Related search

Recognizing Materials Using Perceptually Inspired Features

International Journal of Computer Vision
Computer VisionPattern RecognitionArtificial IntelligenceSoftware
2013English

Behavior Recognition via Sparse Spatio-Temporal Features

English

Spatio-Temporal Case-Based Reasoning for Behavioral Selection

English

Human Action Recognition Based on Spatio-Temporal Features

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2009English

Spatio-Temporal Analysis of Unemployment Rate in Poland

Comparative Economic Research
EconomicsEconometricsFinance
2013English

Improved Searching for Spatial Features in Spatio-Temporal Data

2004English

Spatio-Temporal Fusion of Multiple View Video Rate 3D Surfaces

English

Reflection Phase Microscopy Using Spatio-Temporal Coherence of Light

Optica
OpticsMolecular Physics,OpticalAtomicMagnetic MaterialsElectronic
2018English

Brazilian Amazonia Deforestation Detection Using Spatio-Temporal Scan Statistics

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
InstrumentationEarthPlanetary SciencesEnvironmental Science
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy