Recognition memory for words, pictures, and words + pictures
نویسندگان
چکیده
منابع مشابه
Matching Words and Pictures
We present a new approach for modeling multi-modal data sets, focusing on the specific case of segmented images with associated text. Learning the joint distribution of image regions and words has many applications. We consider in detail predicting words associated with whole images (auto-annotation) and corresponding to particular image regions (region naming). Auto-annotation might help organ...
متن کاملExploiting Words and Pictures
Exploiting Words and Pictures by Tamara Lee Berg Doctor of Philosophy in Computer Science University of California, Berkeley Professor David A. Forsyth, Co-Chair Professor Jitendra Malik, Co-Chair There are billions of images with associated text available on the web. Some common areas where pictures and words are naturally linked include: web pages, captioned photographs, and video with speech...
متن کاملMore Words and Bigger Pictures
Object recognition is a little like translation: a picture (text in a source language) goes in, and a description (text in a target language) comes out. I will use this analogy, which has proven fertile, to describe recent progress in object recognition. We have very good methods to spot some objects in images, but extending these methods to produce descriptions of images remains very difficult...
متن کاملAging effects in item and associative recognition memory for pictures and words.
Item and associative recognition for pictures and words with college-age young adults and 60-75-year-old adults were examined in the experiment reported in this article. The diffusion model (Ratcliff & McKoon, 2008) was used to extract estimates of components of processing from the empirical values of accuracy and correct and error response time distributions. The model fit the empirical data w...
متن کاملLearning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features. The model is very promising for information retrieval tasks such as database browsing and searching for images based on text and/or image features. Furthermore, since the model learns relationships between text and i...
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ژورنال
عنوان ژورنال: Psychonomic Science
سال: 1972
ISSN: 0033-3131
DOI: 10.3758/bf03328986