Efficient Video Editing for Mobile Applications

Abstract

Recording, storing and sharing video content has become one of the most popular usages of smartphones. This has resulted in demand for video editing apps that the users can use to edit their videos before sharing on various social networks. This study describes a technique to create a video editing application that uses the processing power of both GPU and CPU to process various editing tasks. The results and subsequent discussion shows that using the processing power of both the GPU and CPU in the video editing process makes the application much more time-efficient and responsive as compared to just the CPU-based processing.

Authors and Affiliations

Ignasi Vegas Pajaro, Ankur Agrawal, Tina Tian

Keywords

Related Articles

Truncated Patch Antenna on Jute Textile for Wireless Power Transmission at 2.45 GHz

Jute textile is made from natural fibres and is known for its strength and durability. To determine if jute could be used as a substrate for microstrip antennas, its electromagnetic characteristics (permittivity and loss...

Harmonics Measurement in Computer Laboratory and Design of Passive Harmonic Filter using MATLAB

In this paper the harmonics measurement for computer loads is analyzed and passive filters are designed for mitigating those harmonics. The filters are designed to meet the IEEE standard 519-1992 which is recommended for...

Identification–Oriented Control Designs with Application to a Wind Turbine Benchmark

Wind turbines are complex dynamic systems forced by stochastic wind disturbances, gravitational, centrifugal, and gyroscopic loads. Since their aerodynamics are nonlinear, wind turbine modelling is thus challenging. Ther...

Estimation Method of Ionospheric TEC Distribution using Single Frequency Measurements of GPS Signals

The satellite-to-ground communications are influenced by ionospheric plasma which varies depending on solar and geomagnetic activities as well as regions and local times. With the expansion of use of the space, continuou...

Finite Element Method Combined with Neural Networks for Power System Grounding Investigation

Even in homogenous soil and for simple geometrical structure the analytical design of a grounding system is a complex and not very accurate procedure. Using Finite Element Analysis (FEA) it can perform a precise design f...

Download PDF file
  • EP ID EP243017
  • DOI 10.14569/IJACSA.2017.080105
  • Views 79
  • Downloads 0

How To Cite

Ignasi Vegas Pajaro, Ankur Agrawal, Tina Tian (2017). Efficient Video Editing for Mobile Applications. International Journal of Advanced Computer Science & Applications, 8(1), 26-30. https://europub.co.uk/articles/-A-243017