あらまし 本論文では、与えられた画像に適切なテキストラベルを自動的に付与する画像認識 (image annotation) と、与えられたテキストラベルから適切な画像を見つけだす画像検索 (image retrievel) とを、統一的な枠組で取り 扱う画像認識検索 (image annotation retrieval) 問題を取り上げる。この問題に対し、我々は、画像とラベルとの関 係性を表現するトピックモデルを半教師的にかつ簡易に獲得できる新しい機械学習手法 SSCDE (Semi-supervised canonical density estimation) を提案する。提案手法は以下の 2つの要素から構成される。(1) 独自に開発した半教師 型正準相関分析 (SemiCCA)により、従来の正準相関分析と同等の計算量で、少数のラベル付画像から得られる画像 とラベルとの共起情報...

Medical image segmentation has become an essential technique in clinical and researchoriented applications. Because manual segmentation methods are tedious, and semi-automatic segmentation lacks the flexibility, fully-automatic methods have become the preferred type of medical image segmentation. This work proposes a robust fully automatic segmentation scheme based on the modified contouring te...

Fast and accurate ridge detection in fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a finger print are major problems in any AFIS. This paper investigates a new online ridge detection method that reduces the complexity and costs associated with the fingerprint identification procedure. The noise in fingerprint...

Automatic image annotation is an attractive service for users and administrators of online photo sharing websites. In this paper, we propose an image annotation approach exploiting visual and textual saliency. For textual saliency, a concept graph is firstly established based on the association between the labels. Then semantic communities and latent textual saliency are detected; For visual sa...

We present a novel approach to automatically annotate images using associated text. We detect and classify all entities (persons and objects) in the text after which we determine the salience (the importance of an entity in a text) and visualness (the extent to which an entity can be perceived visually) of these entities. We combine these measures to compute the probability that an entity is pr...

Although.important.in.practice,.manual.image.annotation.and.retrieval.has.rarely.been.studied.by.means. of.formal.modeling.methods..In.this.chapter,.the.authors.propose.a.set.of.formal.models.to.characterize.the.annotation.times.for.two.commonly-used.manual.annotation.approaches,.that.is,.tagging.and. browsing..Based.on.the.complementary.properties.of.these.models,.the.authors.design.new.hybrid...

The availability of databases of images labeled with keywords is necessary for developing and evaluating image annotation models. Dataset collection is however a costly and time consuming task. In this paper we exploit the vast resource of images available on the web. We create a database of pictures that are naturally embedded into news articles and propose to use their captions as a proxy for...