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"A picture is worth a thousand words" is an adage in multiple languages meaning that complex and sometimes multiple ideas [1] can be conveyed by a single still image, which conveys its meaning or essence more effectively than a mere verbal description.
A caption may be a few words or several sentences. Writing good captions takes effort; along with the lead and section headings, captions are the most commonly read words in an article, so they should be succinct and informative. Not every image needs a caption; some are simply decorative. Relatively few may be genuinely self-explanatory.
Allan Paivio's dual-coding theory is a basis of picture superiority effect. Paivio claims that pictures have advantages over words with regards to coding and retrieval of stored memory because pictures are coded more easily and can be retrieved from symbolic mode, while the dual coding process using words is more difficult for both coding and retrieval.
Visual thinking has been described as seeing words as a series of pictures. [2] [3] It is common in approximately 60–65% of the general population. [1] "Real picture thinkers", those who use visual thinking almost to the exclusion of other kinds of thinking, make up a smaller percentage of the population.
The Droste effect (Dutch pronunciation:), known in art as an example of mise en abyme, is the effect of a picture recursively appearing within itself, in a place where a similar picture would realistically be expected to appear. This produces a loop which in theory could go on forever, but in practice only continues as far as the image's ...
Picture description. Bock introduced a picture description task [1] to investigate this phenomenon. In the study phase, at their own pace, participants read a list of sentences and observe a set of pictures. All these pictures describe events including an agent, patient, and theme. Half of the agents pictured are humans and the other half ...
These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus . Once trained, such a model can detect synonymous words or suggest additional words for a partial sentence.
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 ...