JRS at Search and Hyperlinking of Television Content Task

The calculated V isualSimilarity was used to modify the final score of the segment in the retrieval for a particular query segment as follows (the W eight parameter was tuned on

Given the fact that the baseline system can be beaten on the training set, results over the test set suggest that models optimised on MRR, mGAP, and MASP for a known-item

The Search and Hyperlinking Task at MediaEval 2013 envisioned the following scenario: a user is searching for a segment of video that they know to be contained in a video

• part-sc-C: Partial scenes search from shot boundary using textual and visual cues following three steps: filtering of the list of videos; querying for shots inside each video;

For search, we compute word- based similarity (from transcript and metadata) between queries and all segments in the collection, using a vector space model based and TF-IDF

Then, for each possible beginning, we identified the segment end (from the set of possible segment ends) which lay closest to 50.111 seconds (which is the aver- age segment length

We describe Dublin City University (DCU)’s participation in the Hyperlinking sub-task of the Search and Hyperlinking of Television Content task at MediaEval 2013. Two meth- ods of

Each of these sets consists of six runs, using combinations of each of the three different types of text resources (two ASR transcripts and subtitles) and for each using only the