Over the last decade Australia's free-to-air commercial networks Seven, Nine and Ten have undergone a protracted digital transformation with development of their online, ad-supported broadcaster video-on-demand (BVOD) platforms 7Plus, 9Now, 10Play. The present article considers some questions these BVODs raise for television policy in Australia, specific reference to local content regulation. T...

Abstract—This paper presents the local mesh co-occurrence patterns (LMCoP) using HSV color space for image retrieval system. HSV color space is used in this method to utilize color, intensity and brightness of images. Local mesh patterns are applied to define the local information of image and gray level co-occurrence is used to obtain the co-occurrence of LMeP pixels. Local mesh co-occurrence ...

Can we model the scale-free distribution of Web hypertext degree under realistic assumptions about the behavior of page authors? Can a Web crawler efficiently locate an unknown relevant page? These questions are receiving much attention due to their potential impact for understanding the structure of the Web and for building better search engines. Here I investigate the connection between the l...

In tapping the thriving mobile business, a study on mobile content development, specifically local ones is urgently required. Highly wanted local contents development is indeed for education, entertainment and games. Thus, we develop a mobile game-based learning (mGBL) about local content, called MaCMoG. It was technically tested for its functionality, compliance, compatibility and soaking. Fur...

Information-oriented document labeling is a special document multi-labeling task where the target labels refer to a specific information instead of the topic of the whole document. These kind of tasks are usually solved by looking up indicator phrases and analyzing their local context to filter false positive matches. Here, we introduce an approach for machine learning local content shifters wh...

This contribution develops a new technique for content-based image retrieval. Where most existing image retrieval systems mainly focus on color and color distribution or texture, we classify the images based on local invariants. These features represent the image in a very compact way and allow fast comparison and feature matching with images in the database. Using local features makes the syst...