Stina Westman

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This paper describes a study on the image searching behavior of end-users (journalists) and intermediaries (archivists) in a newspaper editorial office. Image queries by end-users and requests to intermediaries were analyzed, compared and categorized according to typologies from literature. The process of image selection was modeled and selection criteria(More)
This paper reports on a study on search strategies in multimodal image retrieval. We analyzed the queries and search tactics employed by image journalism professionals and non-professionals in a user test. Transaction log data show that searchers are able to combine up to four query modes into a query. Most queries combined at least two of the modes (text,(More)
Balanced and representative test images are needed to study perceived visual quality in various application domains. This study investigates naturalness and interestingness as image quality attributes in the context of test images. Taking a top-down approach we aim to find the dimensions which constitute naturalness and interestingness in test images and(More)
The affective content of a movie is often considered to be largely determined by its style and aesthetics. Recently, studies have attempted to estimate affective movie content with computational features, but results have been mixed, one of the main reasons being a lack of data on perceptual stylistic and aesthetic attributes of film, which would provide a(More)
Evaluation of video summarization approaches requires more information on the user-perceived qualities of different types of summaries. Also, evaluation measures need to be further developed in a user-led manner. This article reports on a user-centered evaluation of visual video summaries. Four types of summaries (fastforward, user-controlled fastforward,(More)
The development of visual retrieval methods requires information about user interaction with images, including their description and categorization.This article presents the development of a categorization model for magazine images based on two user studies. In Study 1, we elicited 10 main classes of magazine image categorization criteria through sorting(More)