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  2. Bag-of-words model in computer vision - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model_in...

    In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.

  3. Visual Word - Wikipedia

    en.wikipedia.org/wiki/Visual_Word

    In general visual words (VWs) exist in a feature space of continuous values implying a huge number of words and therefore a huge language. Since image retrieval systems need to use text retrieval techniques that are dependent on natural languages, which have a limit to the number of terms and words, there is a need to reduce the number of ...

  4. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly used in methods of document classification where, for example, the (frequency of) occurrence of each word is used as a feature for training a classifier. [1] It has also been used for computer vision. [2]

  5. Mind map - Wikipedia

    en.wikipedia.org/wiki/Mind_map

    A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. [1] It is often based on a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added.

  6. Componential analysis - Wikipedia

    en.wikipedia.org/wiki/Componential_analysis

    Componential analysis is a method typical of structural semantics which analyzes the components of a word's meaning. Thus, it reveals the culturally important features by which speakers of the language distinguish different words in a semantic field or domain (Ottenheimer, 2006, p. 20).

  7. Feature (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Feature_(computer_vision)

    Features may be specific structures in the image such as points, edges or objects. Features may also be the result of a general neighborhood operation or feature detection applied to the image. Other examples of features are related to motion in image sequences, or to shapes defined in terms of curves or boundaries between different image regions.

  8. Visual language - Wikipedia

    en.wikipedia.org/wiki/Visual_language

    A visual language is a system of communication using visual elements. Speech as a means of communication cannot strictly be separated from the whole of human communicative activity which includes the visual [1] and the term 'language' in relation to vision is an extension of its use to describe the perception, comprehension and production of visible signs.

  9. Calligram - Wikipedia

    en.wikipedia.org/wiki/Calligram

    A calligram is a set of words arranged in such a way that it forms a thematically related image. It can be a poem, a phrase, a portion of scripture, or a single word; the visual arrangement can rely on certain use of the typeface, calligraphy or handwriting, for instance along non-parallel and curved text lines, or in shaped paragraphs. The ...