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Drag and Drop Multimedia files into Web Based Search Engines Disclosure Number: IPCOM000171709D
Original Publication Date: 2008-Jun-17
Included in the Prior Art Database: 2008-Jun-17
Document File: 2 page(s) / 77K

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The main idea is to enable the user the capability to drag and drop multimedia files into web-based search engines? search fields, in order to perform the required search. This capability will help the user save time, in case the object is accessible to him and it will be hard to navigate through a browsing mechanism to find it. The user does not have to know where the file exists, in case he holds it. This solution is intuitive and user-friendly. Moreover it is extremely valuable in case the details of the file format are unknown. For example, when one would like to search for DICOM objects that are more or less similar to the one he holds, there is no need for him to understand the structure of such a file. Drugging and dropping the file into the search engine will bring the results and deal with the structure of the dropped file without user interference.

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Drag and Drop Multimedia files into Web Based Search Engines

Many web-based search engines can accept as a query a whole file in order to perform content and metadata-based search:
1. Nowadays, 99% of the information available on the web consists of multimedia content. This fact has encouraged people to develop web-based search engines on audio-visual content (image, speech, music and video).
2. For textual search, the query can be a whole document like "similar pages" of Google.

In the following, we will denote by multimedia object any object that integrates text, image, speech, music or video.

Such web-based search engines require from the user to fill his query in the search field of a form. This is done by typing the query string in case of textual search engines and then following "Similar pages" links or by uploading multimedia files using "Browse"-like button and navigating to the target file along the user file system directories (as done today, see Figure 2). The currently existing approaches obviously have the following drawbacks:
Query typing (especially if the string is taken from a file or email) and file browsing are time-consuming and annoying procedures
In order to search for files that are related to the one the user currently holds, it may be necessary to build a query string based on the information taken from the file content. The information is not accessible if the user is not familiar with the specific format of the file or if there is no application available for opening it. Moreover, it can be hard to extract the valuable information from the file to search for (e.g. if the user would like to find documents having similar content to t...