Search results for "Visual Word"
showing 10 items of 65 documents
Semantic retrieval: an approach to representing, searching and summarising text documents
2011
Nowadays, the internet is the major source of information for millions of people. There are many search tools available on the net but finding appropriate text information is still difficult. The retrieval efficiency of the presently used systems cannot be significantly improved: ‘bag of words’ interpretation causes losing semantics of texts. We applied the functional approach to represent English text documents. It allows taking into account semantic relations between words when indexing documents and use ordinary English sentences as queries to a search engine. The proposed retrieval mechanisms return only highly relevant documents. They make it possible to generate content-aware summarie…
Automatic building of a visual interface for content-based multiresolution retrieval of paleontology images
2001
In this article we present research work in the field of content-based image retrieval in large databases applied to the paleontology image database of the Universite´ de Bourgogne, Dijon, France, called ‘‘TRANS’TYFIPAL.’’ Our indexing method is based on multiresolution decomposition of database images using wavelets. For each family of paleontology images we try to find a model image that represents it. The K-means automatic classification algorithm divides the space of parameters into several clusters. A model image for each cluster is computed from the wavelet transform of each image of the cluster. Then a search tree is built to offer users a graphic interface for retrieving images. So …
An interactive evolutionary approach for content based image retrieval
2009
Content Based Image Retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except its contents usually as low-level descriptors. Since these descriptors do not exactly match the high level semantics of the image, assessing perceptual similarity between two pictures using only their feature vectors is not a trivial task. In fact, the ability of a system to induce high level semantic concepts from the feature vector of an image is one of the aspects which most influences its performance. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and ad-hoc strategies in an attem…
Multimedia Retrieval by Means of Merge of Results from Textual and Content Based Retrieval Subsystems
2010
The main goal of this paper it is to present our experiments in ImageCLEF 2009 Campaign (photo retrieval task). In 2008 we proved empirically that the Text-based Image Retrieval (TBIR) methods defeats the Content-based Image Retrieval CBIR "quality" of results, so this time we developed several experiments in which the CBIR helps the TBIR. The TBIR System [6] main improvement is the named-entity sub-module. In case of the CBIR system [3] the number of low-level features has been increased from the 68 component used at ImageCLEF 2008 up to 114 components, and only the Mahalanobis distance has been used. We propose an ad-hoc management of the topics delivered, and the generation of XML struct…
Some Results Using Different Approaches to Merge Visual and Text-Based Features in CLEF’08 Photo Collection
2009
This paper describes the participation of the MIRACLE team at the ImageCLEF Photographic Retrieval task of CLEF 2008. We succeeded in submitting 41 runs. Obtained results from text-based retrieval are better than content-based as previous experiments in the MIRACLE team campaigns [5, 6] using different software. Our main aim was to experiment with several merging approaches to fuse text-based retrieval and content-based retrieval results, and it happened that we improve the text-based baseline when applying one of the three merging algorithms, although visual results are lower than textual ones.
Are You Taking the Fastest Route to the RESTAURANT?
2018
Abstract. Most words in books and digital media are written in lowercase. The primacy of this format has been brought out by different experiments showing that common words are identified faster in lowercase (e.g., molecule) than in uppercase (MOLECULE). However, there are common words that are usually written in uppercase (street signs, billboards; e.g., STOP, PHARMACY). We conducted a lexical decision experiment to examine whether the usual letter-case configuration (uppercase vs. lowercase) of common words modulates word identification times. To this aim, we selected 78 molecule-type words and 78 PHARMACY-type words that were presented in lowercase or uppercase. For molecule-type words,…
Psycholinguistic variables in visual word recognition and pronunciation of European Portuguese words: a mega-study approach
2019
An increasing number of psycholinguistic studies have adopted a megastudy approach to explore the role that different variables play in the speed and/or accuracy with which words are recognised and/or pronounced in different languages. However, despite evidence for deep and shallow orthographies, little is known about the role that several orthographic, phonological and semantic variables play in visual word recognition and word production of words from intermediate-depth languages, as European Portuguese (EP). The current study aimed to overcome this gap, by collecting lexical decision and naming data for a large pool of words selected to closely represent the diversity of the EP language.…
Does Top-Down Feedback Modulate the Encoding of Orthographic Representations During Visual-Word Recognition?
2016
Abstract. In masked priming lexical decision experiments, there is a matched-case identity advantage for nonwords, but not for words (e.g., ERTAR-ERTAR < ertar-ERTAR; ALTAR-ALTAR = altar-ALTAR). This dissociation has been interpreted in terms of feedback from higher levels of processing during orthographic encoding. Here, we examined whether a matched-case identity advantage also occurs for words when top-down feedback is minimized. We employed a task that taps prelexical orthographic processes: the masked prime same-different task. For “same” trials, results showed faster response times for targets when preceded by a briefly presented matched-case identity prime than when preceded by …
Embedded word priming elicits enhanced fMRI responses in the visual word form area.
2018
Lexical embedding is common in all languages and elicits mutual orthographic interference between an embedded word and its carrier. The neural basis of such interference remains unknown. We employed a novel fMRI prime-target embedded word paradigm to test for involvement of a visual word form area (VWFA) in left ventral occipitotemporal cortex in co-activation of embedded words and their carriers. Based on the results of related fMRI studies we predicted either enhancement or suppression of fMRI responses to embedded words initially viewed as primes, and repeated in the context of target carrier words. Our results clearly showed enhancement of fMRI responses in the VWFA to embedded-carrier …
Children Like Dense Neighborhoods: Orthographic Neighborhood Density Effects in Novel Readers
2008
Previous evidence with English beginning readers suggests that some orthographic effects, such as the orthographic neighborhood density effects, could be stronger for children than for adults. Particularly, children respond more accurately to words with many orthographic neighbors than to words with few neighbors. The magnitude of the effects for children is much higher than for adults, and some researchers have proposed that these effects could be progressively modulated according to reading expertise. The present paper explores in depth how children from 1stto 6thgrade perform a lexical decision with words that are from dense or sparse orthographic neighborhoods, attending not only to acc…