Paper Info
Title
Word2Image: towards visual interpreting of words
Abstract
Besides the traditional textual semantic description to convey the meanings of a certain concept or word, visual illustration is a complementary, yet important and more intuitive way to interpret the word. Thus the technique that converts word to image is desirable though it is very difficult. Since a word usually has different semantic aspects, we need several correct and semantic-rich images to represent the word. In this paper, we explore how to leverage the web image collections to fulfill such task and develop a novel multimedia application system, Word2Image. Various techniques, including the correlation analysis, semantic and visual clustering are adapted into our system to produce sets of high quality, precise, diverse and representative images to visually translate a given word. The objective and subjective evaluations show the feasibility and effectiveness of our approach.
Year
DOI
Venue
2008
10.1145/1459359.1459494
ACM Multimedia 2001
Keywords
DocType
Citations 
semantic-rich image,representative image,traditional textual semantic description,certain concept,novel multimedia application system,web image collection,correlation analysis,visual illustration,visual clustering,different semantic aspect,representativeness
Conference
17
PageRank 
References 
Authors
0.83
8
4
Name
Order
Citations
PageRank
Haojie Li1142765.70
Jinhui Tang25180212.18
Guangda Li345017.15
Tat-Seng Chua411749653.09