NDLI: A Novel Language-Model-Based Approach for Image Object Mining and Re-ranking

Content Provider	IEEE Xplore Digital Library
Author	Jen-Hao Hsiao Chu-Song Chen Ming-Syan Chen
Copyright Year	2008
Description	Author affiliation: Inst. of Inf. Sci., Acad. Sinica, Taipei (Chu-Song Chen) \|\| Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei (Jen-Hao Hsiao; Ming-Syan Chen)
Abstract	One leading framework for image object mining is the bag-of-words (BOW) approach. The idea is to encode an image as a collection of visual words of the quantized local patches. Objects in the image can then be retrieved through inferring the semantic topics associated with the set of visual words. However, the visual BOW mining framework is apt to suffer from the so-called term-mismatch problem (a.k.a. vocabulary problem). This is caused by the poverty of query information, and consequently becomes an obstacle to deal with synonymy (i.e., different visual words for describing the same object). In this paper, we propose a novel language-model-based approach with pseudo-relevance feedback for addressing the vocabulary problem in visual BOW mining. We employ the pseudo positive images produced in response to the original query as a set of "cues" to gradually refine the query language model. Unlike traditional approaches that only ruggedly append feedback information into the original query, the proposed approach reconstructs the query language model with finer granularities so that the query concepts can be captured more accurately. The proposed approach is experimentally evaluated using two different types of image object databases. Our algorithms are shown to bring significant improvement in the retrieval accuracy over a non-feedback baseline, and achieve better performance than conventional feedback approaches.
Starting Page	243
Ending Page	252
File Size	1421401
Page Count	10
File Format	PDF
ISBN	9780769535029
ISSN	15504786
DOI	10.1109/ICDM.2008.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Vocabulary Image retrieval Image databases Information retrieval Feedback Content based retrieval Multimedia databases Database languages Histograms Pseudo relevance feedback Bag of words Image object retrieval Language model
Content Type	Text
Resource Type	Article

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