Using graded relevance assessments in IR evaluation
Journal of the American Society for Information Science and Technology
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Overview of the CLEF-2007 Cross-Language Speech Retrieval Track
Advances in Multilingual and Multimodal Information Retrieval
Annotation of heterogeneous multimedia content using automatic speech recognition
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Using support vector machines as learning algorithm for video categorization
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Video classification as IR task: experiments and observations
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Identification of narrative peaks in video clips: text features perform best
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
A cocktail approach to the VideoCLEF'09 linking task
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
When to cross over? cross-language linking using wikipedia for VideoCLEF 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Affective video content representation and modeling
IEEE Transactions on Multimedia
Exploiting noisy visual concept detection to improve spoken content based video retrieval
Proceedings of the international conference on Multimedia
Methods for classifying videos by subject and detecting narrative peak points
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Using support vector machines as learning algorithm for video categorization
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Video classification as IR task: experiments and observations
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Exploiting speech recognition transcripts for narrative peak detection in short-form documentaries
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Identification of narrative peaks in video clips: text features perform best
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
A cocktail approach to the VideoCLEF'09 linking task
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
When to cross over? cross-language linking using wikipedia for VideoCLEF 2009
CLEF'09 Proceedings of the 10th international conference on Cross-language evaluation forum: multimedia experiments
Multimodal indexing based on semantic cohesion for image retrieval
Information Retrieval
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
Feeding the second screen: semantic linking based on subtitles
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
Multimedia Tools and Applications
Hi-index | 0.00 |
VideoCLEF 2009 offered three tasks related to enriching video content for improved multimedia access in a multilingual environment. For each task, video data (Dutch-language television, predominantly documentaries) accompanied by speech recognition transcripts were provided. The Subject Classification Task involved automatic tagging of videos with subject theme labels. The best performance was achieved by approaching subject tagging as an information retrieval task and using both speech recognition transcripts and archival metadata. Alternatively, classifiers were trained using either the training data provided or data collected from Wikipedia or via general Web search. The Affect Task involved detecting narrative peaks, defined as points where viewers perceive heightened dramatic tension. The task was carried out on the "Beeldenstorm" collection containing 45 short-form documentaries on the visual arts. The best runs exploited affective vocabulary and audience directed speech. Other approaches included using topic changes, elevated speaking pitch, increased speaking intensity and radical visual changes. The Linking Task, also called "Finding Related Resources Across Languages," involved linking video to material on the same subject in a different language. Participants were provided with a list of multimedia anchors (short video segments) in the Dutch-language "Beeldenstorm" collection and were expected to return target pages drawn from English-language Wikipedia. The best performing methods used the transcript of the speech spoken during the multimedia anchor to build a query to search an index of the Dutch-language Wikipedia. The Dutch Wikipedia pages returned were used to identify related English pages. Participants also experimented with pseudo-relevance feedback, query translation and methods that targeted proper names.