Temporal Web Image Retrieval

International audienceTemporal Web Image Retrieval can be defined as the process that retrieves sets ofWeb images with their temporal dimension from explicit or implicit temporal text queries. Supposing that (a) the temporal dimension is included in image indexing and (b) the query is explicitly expressed with a time tag (e.g. "Fukushima 2011"), the retrieval task can be straightforward as image retrieval has been studied for several years with success. However, text queries are usually implicit in time (e.g. "Second World War") and automatically capturing the time dimension included in Web images is a challenge that has not been studied so far to the best of our knowledge. In this paper, we will discuss different research issues about Temporal Web Image Retrieval and the current progresses of our research in temporal ephemeral clustering and temporal image filtering

Using Ephemeral Clustering and Query Logs to Organize Web Image Search Results on Mobile Devices

International audienceThe recent shift in human-computer interaction from desktop to mobile computing fosters the needs of new interfaces for web image search results exploration. In this paper, we present two different strategies to cluster results gathered from an image search engine and propose an adapted interface for handled devices. For that purpose, we suggest to expand the original query based on labels of Ephemeral Clusters and compare it to a Query Log based approach. Consistent results were obtained for both strategies from manual and automatic evaluations, confirming that organizing image search results into clusters can improve mobile image information retrieval