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A caption is a short descriptive or explanatory text, usually one or two sentences long, which accompanies a photograph, picture, map, graph, pictorial illustration, figure, table or some other form of graphic content contained in a book or in a newspaper or magazine article. [1] [2] [3] The caption is usually placed directly below the image.
One of a caption's primary purposes is to identify the subject of the picture. Make sure your caption does that, without leaving readers to wonder what the subject of the picture might be. Be as unambiguous as practical in identifying the subject. What the picture is is important, too. If the image to be captioned is a painting, an editor can ...
Photo captions, also known as cutlines, are a few lines of text used to explain and elaborate on published photographs. [1] In some cases captions and cutlines are distinguished, where the caption is a short (usually one-line) title/explanation for the photo, while the cutline is a longer, prose block under the caption, generally describing the ...
The caption for the first picture is more than enough. 4. Lengthy captions are necessary only when the caption is not explained in full by the adjacent text. They should used when there is something extraordinary demonstrated by the picture, not thoroughly explored in the main body of the article.
A template for adding a caption to a frameless image. Template parameters [Edit template data] Parameter Description Type Status Image image 1 The image to use. The ''File:'' prefix is optional. Default — String required Image caption and alt text caption 2 The caption to display under or above the image. Also sets the alt text. Default — String required Image width scaling factor upright ...
Closed captioning (CC) is a form of subtitling, a process of displaying text on a television, video screen, or other visual display to provide additional or ...
Language links are at the top of the page across from the title.
There are several statistical approaches to language identification using different techniques to classify the data. One technique is to compare the compressibility of the text to the compressibility of texts in a set of known languages. This approach is known as mutual information based distance measure.