This working notes describe the runs and results obtained by the LIG at ImageCLEFphoto 2008. The submitted runs are: two runs (text only and text+image) without diversification on classes, and two runs (text only and text+image) with class diversification were submitted. The text retrieval is based on language model of Information Retrieval, and the image part is processed using RGB histograms ...

We describe a baseline system for the VideoCLEF Vid2RSS task. The system uses an unaltered off-the-shelf Information Retrieval system. ASR content is indexed using default stemming and stopping methods. The subject categories are populated by using the category label as a query on the collection, and assigning the retrieved items to that particular category. We describe the results of the syste...

The task for this year is very similar to last year. However, this time we incorporate last year’s experience, in particular, we explored the possibility of improving the selection of snippets, eliminating those that do not make sense, as well as those containing duplicate information. Also, it is intended to explore the real impact of the use of several languages in obtaining relevant fragments.

This paper presents our participation at the ImageCLEFPhoto 2008 task. We submitted six runs, experimenting with our own block-based visual retrieval as well as with query expansion. The results we obtained show that despite the poor performance of the visual and text retrieval components, good results can be obtained through Pseudo-relevance feedback and the fusion of the results.

This paper describes aueb’s participation in tac 2008. Specifically, we participated in the summarization and textual entailment recognition tracks. For the former we trained a Support Vector Regression model that is used to rank the summary’s candidate sentences; and for the latter we used a Maximum Entropy classifier along with string similarity measures applied to several abstractions of the...

This paper describes the first participation of the SINAI research group in the VideoCLEF 2008 track. We have only submitted runs for the classification task on Dutch and English languages. Our approach has consisted in the use of a particular Information Retrieval system as classification architecture, using the speech transcriptions as textual queries and generating textual corpus for each to...

Abstract We examine the effect of corruption control on efficiency and its implications for spillovers by a stochastic frontier model. Our dataset covers 102 countries from 1996 to 2014. find positive relationship between efficiency. If neighboring have difficulty in handling corruption, country would be negatively affected neighbors' through spillovers. then compare differences across three ti...