نتایج جستجو برای: pictorial annotation

تعداد نتایج: 37476  

This study explores the effect of online annotations via Interactive White Boards (IWBs) on reading comprehension of Iranian EFL learners. To this aim, 60 students from a language institute were selected as homogeneous based on their performance on Oxford Placement Test (2014).Then, they were randomly assigned to 3 experimental groups of 20, and subsequently exposed to the research treatment af...

Journal: :journal of english language teaching and learning 2014
nasrin shams azizollah dabaghi

this study explores the effect of online annotations via interactive white boards (iwbs) on reading comprehension of iranian efl learners. to this aim, 60 students from a language institute were selected as homogeneous based on their performance on oxford placement test (2014).then, they were randomly assigned to 3 experimental groups of 20, and subsequently exposed to the research treatment af...

2006
C. Grana

A system for the automatic creation of Pictorially Enriched Ontologies is presented, that is ontologies for context-based video digital libraries, enriched by pictorial concepts for video annotation, summarization and similarity-based retrieval. Extraction of pictorial concepts with video clips clustering, ontology storing with MPEG-7, and the use of the ontology for stored video annotation are...

2008
Nian-Shing Chen Sheng-Wen Hsieh

Nian-Shing Chen, National Sun Yat-sen University Sheng-Wen Hsieh, Far East University Kinshuk, Athabasca University Due to the rapid advancements in mobile communication and wireless technologies, many researchers and educators have started to believe that these emerging technologies can be leveraged to support formal and informal learning opportunities. Mobile language learning can be effectiv...

Ali akbar Ansarin, Firouze Jamshidi Zohreh Mohammadi,

One of the main ways to acquire unfamiliar words is to make guesses about words meaning. This study investigates the comparative effects of pictorial annotations and morphological instructions on Iranian EFL learners’ lexical inferencing ability. Considering homogeneity issues using PET (Preliminary English Test), the researchers assigned the participants into two experimental and one control g...

2006
Linda C. Jones LINDA C. JONES

Sixty-eight college students enrolled in a French course listened to a multimedia-based French passage in one of four groups to which they were randomly assigned: the listening text (a) alone, with no annotations; (b) in pairs, with no annotations; (c) alone, with written and pictorial annotations; and (d) in pairs, with written and pictorial annotations. The students identified or recalled voc...

Journal: :IEEE MultiMedia 2000
Rohini K. Srihari Zhongfei Zhang

A multimedia system for semi-automated image annotation, Show&Tell combines advances in speech recognition, natural language processing, and image understanding. Show&Tell differs from map annotation systems and has tremendous implications for situations where visual data must be coreferenced with text descriptions, such as medical image annotation and consumer photo annotation. S how&Tell take...

Journal: :J. Web Sem. 2010
Michel Dumontier Leo Ferres Natalia Villanueva-Rosales

Although pictorial renditions of statistical data are ubiquitous, few techniques and standards exist to exchange, search and query these graphical representations. We present several improvements to human-graph interaction including i) a new approach to manage statistical graph knowledge by semantic annotation of graphs that bridges the gap between Web 2.0 social tagging and formal, logic-based...

2002
Issam El-Naqa Yongyi Yang Miles N. Wernick Nikolas P. Galatsanos

Recent years have witnessed burgeoning interest in developing methods for automated image retrieval. This is driven largely by the rapid increase in the size of image collections in various disciplines ranging from industrial, medical, to military applications, and by the steady development of the Internet. There is an increasing demand to retrieve stored pictorial information from these databa...

2000
K. Srihari Zhongfei Zhang

A multimedia system for semi-automated image annotation, Show&Tell combines advances in speech recognition, natural language processing, and image understanding. Show&Tell differs from map annotation systems and has tremendous implications for situations where visual data must be coreferenced with text descriptions, such as medical image annotation and consumer photo annotation. S how&Tell take...

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