Name
Abstract | ||
|---|---|---|
This paper describes our approach to carry out multimedia search by connecting the textual information, or the corresponding textual description of the required visual content, in the user query to the audio-visual content of the videos within the collection. The experiments were carried out on the dataset of the Search and Anchoring in Video Archives (SAVA) task at MediaEval 2015, consisting of roughly 2700 hours of the BBC TV broadcast material. We combined visual concepts extraction condence scores with the information about corresponding word vectors distances in order to rerank the baseline text based search. The reranked runs did not outperform the baseline, however they exposed potential of our method for further improvement. |
Year | Venue | Field |
|---|---|---|
2015 | MediaEval | Multimedia search,Textual information,Computer science,Multimedia,Broadcast television systems |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Eskevich | 1 | 2 | 5.61 |
| Benoit Huet | 2 | 519 | 66.20 |