Current search engines are based upon search methods that involve the combination of words (text-based search); which
has been efficient until now. However, the Internet’s growing demand indicates that there’s more diversity on it with each
passing day. Text-based searches are becoming limited, as most of the information on the Internet can be found in different
types of content denominated multimedia content (images, audio files, video files).
Indeed, what needs to be improved in current search engines is: search content, and precision; as well as an accurate display
of expected search results by the user. Any search can be more precise if it uses more text parameters, but it doesn’t help
improve the content or speed of the search itself. One solution is to improve them through the characterization of the
content for the search in multimedia files. In this article, an analysis of the new generation multimedia search engines is
presented, focusing the needs according to new technologies.
Multimedia content has become a central part of the flow of information in our daily life. This reflects the necessity of
having multimedia search engines, as well as knowing the real tasks that it must comply. Through this analysis, it is shown
that there are not many search engines that can perform content searches. The area of research of multimedia search engines
of new generation is a multidisciplinary area that’s in constant growth, generating tools that satisfy the different needs of
new generation systems.