What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Information retrieval
- The Internet
Paul Over spends much of his time researching Information retrieval, TRECVID, Multimedia, Digital video and NIST.
His Text retrieval study in the realm of Information retrieval connects with subjects such as Rank.
Along with TRECVID, other disciplines of study including Video retrieval, Benchmarking and Feature are integrated into his research.
His Video retrieval research focuses on Feature extraction and how it relates to Variety and Web service.
His Multimedia study integrates concerns from other disciplines, such as Image segmentation and Semantic feature.
As a part of the same scientific family, he mostly works in the field of NIST, focusing on Automatic summarization and, on occasion, Natural language.
His most cited work include:
- Evaluation campaigns and TRECVid (1214 citations)
- TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics (305 citations)
- Video shot boundary detection: Seven years of TRECVid activity (245 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Information retrieval, TRECVID, NIST, Multimedia and Video retrieval.
His study in the fields of Text retrieval and Relevance under the domain of Information retrieval overlaps with other disciplines such as Digital video, Track and Benchmarking.
In his papers, Paul Over integrates diverse fields, such as TRECVID, Informatics, Information society, Benchmark, Event and Feature extraction.
His NIST study which covers Automatic summarization that intersects with Ground truth.
His research in Multimedia focuses on subjects like World Wide Web, which are connected to Text Retrieval Conference.
His Video retrieval study typically links adjacent topics like Variety.
He most often published in these fields:
- Information retrieval (68.35%)
- TRECVID (64.56%)
- NIST (30.38%)
What were the highlights of his more recent work (between 2010-2017)?
- TRECVID (64.56%)
- Information retrieval (68.35%)
- Video retrieval (26.58%)
In recent papers he was focusing on the following fields of study:
His main research concerns TRECVID, Information retrieval, Video retrieval, NIST and Information society.
There are a combination of areas like Informatics, Benchmark, Multimedia, Digital video and Government integrated together with his TRECVID study.
His Multimedia study combines topics in areas such as Variety and Multimedia information systems.
In the subject of general Information retrieval, his work in Text Retrieval Conference and Search engine is often linked to Search analytics and Event, thereby combining diverse domains of study.
His Video retrieval research includes themes of Web page, Search engine indexing and Task.
The concepts of his NIST study are interwoven with issues in Multimedia search and Content management, World Wide Web, Database.
Between 2010 and 2017, his most popular works were:
- TRECVID 2014 - An Overview of the Goals, Tasks, Data, Evaluation Mechanisms, and Metrics (305 citations)
- TRECVID 2012 - An overview of the goals, tasks, data, evaluation mechanisms, and metrics (83 citations)
- TRECVID 2013 ― An Overview of the Goals, Tasks, Data, Evaluation Mechanisms and Metrics (81 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Information retrieval
His primary areas of study are TRECVID, Video retrieval, Information retrieval, NIST and Informatics.
His TRECVID study spans across into fields like Benchmark, Digital video, Information and Communications Technology, IR evaluation and Multimedia.
In his research, he performs multidisciplinary study on Benchmark and Government.
His NIST research is multidisciplinary, incorporating elements of The Internet, World Wide Web, Linguistic Data Consortium and Video processing.
His multidisciplinary approach integrates Informatics and Information society in his work.
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