The new buzz in the mobile marketplace is about Android 64-bit systems. In September 2013, Apple released the iPhone* 5 with a 64-bit A7 processor onboard. Thus began the mobile technology race.
This tutorial explains how to use Intel® INDE Media for Mobile to add video capturing capability to Cocos2d-x applications on Android.
Head over to the INDE Media for Mobile GitHub page to get access to the source code. Github lets you see our commit history, submit bug issues and even create your own fork.
Intel(R) System Studio Developer Story: How to configure, build, debug and optimize key parts of your mobile software stack for Android*
1. Set-up and configure a development environment.
(1) The target HW environment
In this article, a Minnow board MAX is used for a HW platform. The MinnowBoard is an Intel® Atom™ processor based board which introduces Intel® Architecture to the small and low cost embedded market for the developer and maker community. It has exceptional performance, flexibility, openness and standards.
So far, three chapters have been devoted to Android interface design. The application interface discussed so far is similar to a dialog interface. The drawback is that it is difficult to obtain accurate touchscreen input information, so it is hard to display accurate images based on the input interface. This chapter introduces the view-based interaction style interface. In this mode, you can enter information with accurate touchscreen input and display detailed images, which happen to be requirements for lots of game applications.
Boas festas a todos! Bem a tempo das comemorações de final de ano e aproveitando o tempo livre que vocês terão durante os feriados e férias, nós estamos dando a vocês algo para brincar: criação de jogos em HTML5 para diferentes plataformas e lojas e não apenas browsers.
I am greatly interested in your INDE library for your Android, yet I have learned from release notes (media_for_mobile_release_notes.pdf file) that video encoding is supported only up to 720p. I would like to know when this limitation will be removed (indicative forecast), hoping it is just a limitation of the library.
Intel® VTune™ Amplifier for Systems helps you speed up and optimize the execution of your code on Linux* embedded platforms, Android* or Windows* systems providing the following types of analysis:
Performance analysis: Find serial and parallel code bottlenecks, analyze algorithm choices, analyze GPU engine usage, and understand where and how your application can benefit from the available hardware resources