What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer vision
- The Internet
Her scientific interests lie mostly in Multimedia, Mixed media, World Wide Web, Artificial intelligence and Geography.
Her Multimedia research is mostly focused on the topic Content management.
Berna Erol integrates Mixed media and Image matching in her research.
Her World Wide Web research is multidisciplinary, incorporating elements of Embedding, Paper document and Engineering drawing.
Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Algorithm and Computer vision.
Berna Erol has researched Hyperlink in several fields, including Camera phone and Information retrieval.
Her most cited work include:
- H.263+: video coding at low bit rates (403 citations)
- Multimodal access of meeting recordings (224 citations)
- Triggering applications based on a captured text in a mixed media environment (205 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Multimedia, Artificial intelligence, Computer vision, Information retrieval and World Wide Web.
In her research on the topic of Multimedia, Translation is strongly related with Presentation.
Her research on Artificial intelligence frequently connects to adjacent areas such as Pattern recognition.
Her Computer vision study frequently links to related topics such as MPEG-4.
Her studies in Information retrieval integrate themes in fields like Annotation and Electronic content.
Particularly relevant to Mobile device is her body of work in World Wide Web.
She most often published in these fields:
- Multimedia (41.83%)
- Artificial intelligence (26.14%)
- Computer vision (24.84%)
What were the highlights of her more recent work (between 2007-2015)?
- Mobile device (10.46%)
- Multimedia (41.83%)
- Information retrieval (21.57%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Mobile device, Multimedia, Information retrieval, World Wide Web and Mixed media.
Her Mobile device study combines topics in areas such as Image registration, Image query, Computer vision and Artificial intelligence.
Her Automatic image annotation and Image processing study in the realm of Computer vision interacts with subjects such as Set and Automated technique.
Her Multimedia study incorporates themes from Session and Mobile computing.
Her biological study spans a wide range of topics, including Annotation, Representation, Image and Electronic content.
Specifically, her work in World Wide Web is concerned with the study of The Internet.
Between 2007 and 2015, her most popular works were:
- Multimedia Clip Generation From Documents for Browsing on Mobile Devices (128 citations)
- Paper-Based Augmented Reality (87 citations)
- Web-Based Content Detection in Images, Extraction and Recognition (82 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- The Internet
Berna Erol mainly investigates Mobile device, Computer vision, Artificial intelligence, Image query and Image.
Her Mobile device research is multidisciplinary, incorporating perspectives in Image registration, Computer network and Web page.
Her work on Automatic image annotation as part of general Computer vision study is frequently connected to Set, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
Her work focuses on many connections between Image query and other disciplines, such as Data mining, that overlap with her field of interest in Multiple classifier, Classifier, Robustness, Pattern recognition and Recognition algorithm.
Her Image research focuses on Image processing in particular.
Her study ties her expertise on Information retrieval together with the subject of World Wide Web.
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