Name
Abstract | ||
|---|---|---|
In the recent years, photo context metadata (e.g.,date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poorly considered in photo retrieving systems. In order to overcome this limitation, we propose an approach to incorporate contextual metadata in a keyword-based photo retrieval process.We use metadata about the photo shot context (address location, nearby objects, season, light status...) to generate a bag of words for indexing each photo. We extend the Vector Space Model in order to transform these shot context words into document-vector terms. In addition, spatial reasoning and geographical ontologies are used to infer new indexing terms. This facilitates the query-document matching process and also allows performing semantic comparison between the query terms and photo annotations. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISM.2008.15 | Berkeley, CA |
Keywords | Field | DocType |
query-document matching process,contextual metadata,vector space model,photo shot context,photo context,keyword-based photo retrieval process,new indexing term,shot context word,photo annotation,personal photo,photo context metadata,seasonality,semantic search,meta data,spatial reasoning,bag of words,indexation,vsm,image retrieval,indexing terms,indexes,indexing,ontologies | Bag-of-words model,Metadata repository,Metadata,Semantic search,Information retrieval,Computer science,Search engine indexing,Image retrieval,Context awareness,Vector space model | Conference |
ISBN | Citations | PageRank |
978-0-7695-3454-1 | 2 | 0.36 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Windson Viana | 1 | 201 | 28.40 |
| Samira Hammiche | 2 | 34 | 3.94 |
| Marlène Villanova-oliver | 3 | 211 | 30.47 |
| Jérôme Gensel | 4 | 380 | 50.95 |
| Hervé Martin | 5 | 204 | 22.03 |