With the overwhelming of research papers, it is pretty hard for me to filter what's good or not. So I'm hoping the HN community, specially some CBIR experts, can pinpoint to me some major sources to gain better knowledge. Are feature extraction methods like SIFT and SURF still dominating? What algorithms are people (and companies like Google) using for their products? Thanks.
We all love the game of football (soccer in US) and we all see how FIFA ruin the game. They are reluctant to use video technology and other rules (like allowing teams to make challenges on referee's decision) to help referees in their decisions and make a fair game. The goal line technology is using in this WC, but there are more things we can do to help in decisions like offside, red card, penalty. Football is the game of 22 players on the field, and the referees are there to make it fair, not to make wrong decisions that change the whole game. Referees are humans and they make mistakes, but we have technology to fix their mistakes and probably save their life. There were cases where referees received death thread. And of course with all the corruption that we've heard about ...
We sure can make it better. And on the financial side, if we could form another football federation it would be a real business with a huge market. The revenue of this on-going 2014 Worldcup is 4B.
