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Keywords are generated from the analysed image. These keywords are used to search for audio files in the database. The results of the search are displayed according to the user preferences regarding to the type of file (wav, mp3, aiff…) or other characteristics. Above: a sound A waveform Below: a sound A spectrogram
Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...
Concept-based image indexing, also variably named as "description-based" or "text-based" image indexing/retrieval, refers to retrieval from text-based indexing of images that may employ keywords, subject headings, captions, or natural language text (Chen & Rasmussen, 1999). It is opposed to Content-based image retrieval. Indexing is a technique ...
Search by metadata: Image search is based on comparison of metadata associated with the image as keywords, text, etc. and it is obtained by employing a set of images sorted by relevance. The metadata associated with each image can reference the title of the image, format, color, etc. and can be generated manually or automatically.
Keyword searches give you a wide variety of results without having to perform an advanced search. You are able to search less and discover more! Type a desired word or phrase in the AOL Search field and hit the Enter key on your keyboard or Click the Search button. AOL Search will find the info you want.
The approaches of text retrieval system (or information retrieval IR system [1]) which were developed over 40 years, are based on keywords or Term. The advantage of these approaches is that they are effective and fast. Text-search engines are able to quickly find documents from hundreds or millions (by using a vector space model [2]). At the ...
Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. [ 1 ] [ 2 ] Key phrases , key terms , key segments or just keywords are the terminology which is used for defining the terms that represent the most relevant information contained in the document.
General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).