What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Computer vision
His main research concerns Information retrieval, Artificial intelligence, Multimedia, TRECVID and Digital video.
His Artificial intelligence research includes themes of Pattern recognition, Computer vision and Natural language processing.
His study in Computer vision is interdisciplinary in nature, drawing from both Lifelog and Wearable computer.
His biological study spans a wide range of topics, including Digital television, Systems design and Hypertext, World Wide Web.
His studies deal with areas such as NIST, Video retrieval and Baseline as well as TRECVID.
His studies in Video retrieval integrate themes in fields like Feature extraction and Benchmark.
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)
- Classifying sentiment in microblogs: is brevity an advantage? (263 citations)
What are the main themes of his work throughout his whole career to date?
Alan F. Smeaton spends much of his time researching Information retrieval, Multimedia, Artificial intelligence, World Wide Web and TRECVID.
Alan F. Smeaton regularly links together related areas like Image retrieval in his Information retrieval studies.
In his works, Alan F. Smeaton undertakes multidisciplinary study on Multimedia and Digital video.
His work deals with themes such as Machine learning, Pattern recognition, Computer vision and Natural language processing, which intersect with Artificial intelligence.
His TRECVID research is multidisciplinary, relying on both NIST, Feature extraction and Benchmark.
Alan F. Smeaton has researched Image processing in several fields, including Lifelog and Wearable computer.
He most often published in these fields:
- Information retrieval (29.20%)
- Multimedia (25.21%)
- Artificial intelligence (23.28%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (23.28%)
- Machine learning (4.55%)
- TRECVID (15.15%)
In recent papers he was focusing on the following fields of study:
Alan F. Smeaton focuses on Artificial intelligence, Machine learning, TRECVID, Multimedia and Information retrieval.
His Artificial intelligence research incorporates themes from Rapid serial visual presentation, Computer vision and Natural language processing.
His Computer vision research incorporates elements of Artificial neural network, Visualization and Wearable computer.
His study in TRECVID is interdisciplinary in nature, drawing from both NIST and Closed captioning.
His Multimedia study incorporates themes from Class, Computer programming, Analytics and Learning analytics.
His study in Video retrieval and Search engine indexing falls under the purview of Information retrieval.
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)
- Children’s everyday exposure to food marketing: an objective analysis using wearable cameras (47 citations)
- Kids'Cam: An Objective Methodology to Study the World in Which Children Live. (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Machine learning
Alan F. Smeaton mainly investigates Artificial intelligence, Learning analytics, TRECVID, Multimedia and Rapid serial visual presentation.
His Artificial intelligence research incorporates themes from Machine learning, Computer vision and Natural language processing.
His research in Computer vision focuses on subjects like Wearable computer, which are connected to Lifelog and Applied psychology.
The study incorporates disciplines such as Hyperlink, Information retrieval and Closed captioning in addition to TRECVID.
His work on Search engine indexing as part of general Information retrieval research is frequently linked to Action, thereby connecting diverse disciplines of science.
His Multimedia research includes themes of Obesity and Environmental health.
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