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The thiol/disulfide redox network mediated by the thioredoxin (Trx) system in chloroplasts ensures light-responsive control of diverse crucial functions. Despite the suggested importance of this system, the working dynamics against changing light environments remains largely unknown. Thus, we directly assessed the in vivo redox behavior of chloroplast(More)
This paper develops a query-by-example method for retrieving shots of an event (event shots) using example shots provided by a user. The following three problems are mainly addressed. Firstly, event shots cannot be retrieved using a single model as they contain significantly different features due to varied camera techniques, settings and so forth. This is(More)
Since the amount of videos on the internet is huge and continuously increases, it is impossible to pre-index events in these videos. Thus, we extract the definition of each event from example videos provided as a query. But, different from positive examples, it is impractical to manually provide a variety of negative examples. Hence, we use "partially(More)
In TRECVID 2009 search task, we have developed a method which defines any interesting topic from examples provided by a user, especially, positive and negative examples. Specifically, considering a large variation of features in a topic, we use " rough set theory " which defines the topic as a union of subsets. In each subset, some positive examples can be(More)
An application of Query-By-Example (QBE) is presented where shots that are visually similar to provided example shots are retrieved. To implement QBE, counter-example shots are required to accurately distinguish shots that are relevant to the query from those that are not (Li and Snoek (2009), Yu et al. (2004)). However, there are usually a huge number of(More)
Since events queried by a user range much widely, indexing a video archive with pre-defined events is impractical. Hence, "query-based event definition" is an essential technique where an event is defined from example videos provided by the user. In this paper, we introduce a novel query-based event definition method to cover a large variation of low-level(More)
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