What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Information retrieval
His primary areas of investigation include Information retrieval, TRECVID, Natural language processing, Artificial intelligence and Video retrieval.
His Information retrieval research includes elements of Language model, Task and Subject.
His research on TRECVID frequently connects to adjacent areas such as Multimedia.
The various areas that he examines in his Natural language processing study include Query language and Probabilistic logic.
His Word, Kernel, Classifier and External Data Representation study in the realm of Artificial intelligence connects with subjects such as Character.
His Video retrieval research incorporates themes from Feature extraction and Benchmark.
His most cited work include:
- Evaluation campaigns and TRECVid (1214 citations)
- The AMI meeting corpus: a pre-announcement (549 citations)
- TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics (305 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Information retrieval, TRECVID, Artificial intelligence, Natural language processing and Multimedia.
His Information retrieval study combines topics from a wide range of disciplines, such as Domain and World Wide Web.
His TRECVID study incorporates themes from NIST, Video retrieval and Benchmark.
In the field of Artificial intelligence, his study on Language model overlaps with subjects such as Relevance feedback.
In his study, Multimedia search is inextricably linked to Search engine indexing, which falls within the broad field of Natural language processing.
Wessel Kraaij connects Multimedia with Focus in his study.
He most often published in these fields:
- Information retrieval (50.57%)
- TRECVID (30.19%)
- Artificial intelligence (28.68%)
What were the highlights of his more recent work (between 2015-2021)?
- TRECVID (30.19%)
- Information retrieval (50.57%)
- Artificial intelligence (28.68%)
In recent papers he was focusing on the following fields of study:
Wessel Kraaij spends much of his time researching TRECVID, Information retrieval, Artificial intelligence, Context and Video retrieval.
The study incorporates disciplines such as Ontology, Hyperlink, Multimedia and Zero in addition to TRECVID.
His study in Multimedia is interdisciplinary in nature, drawing from both Communication channel and Benchmark data.
Many of his research projects under Information retrieval are closely connected to Digital video with Digital video, tying the diverse disciplines of science together.
His studies deal with areas such as Machine learning and Natural language processing as well as Artificial intelligence.
The concepts of his Context study are interwoven with issues in Applied psychology, Usability and Knowledge management.
Between 2015 and 2021, his most popular works were:
- TRECVID 2018: Benchmarking Video Activity Detection, Video Captioning and Matching, Video Storytelling Linking and Video Search (50 citations)
- Detecting Work Stress in Offices by Combining Unobtrusive Sensors (36 citations)
- TRECVID 2016: Evaluating Video Search, Video Event Detection, Localization, and Hyperlinking (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- The Internet
Wessel Kraaij mainly investigates TRECVID, Information retrieval, Context, Multimedia and Artificial intelligence.
His research integrates issues of Hyperlink, Video retrieval and Data mining in his study of TRECVID.
The study incorporates disciplines such as Variety and Multimedia information systems in addition to Video retrieval.
His work in the fields of Query expansion overlaps with other areas such as Action.
His work carried out in the field of Multimedia brings together such families of science as Modality, Communication channel and Fusion.
His Artificial intelligence research incorporates elements of Machine learning, Vocabulary and Natural language processing.
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