activity
20182022
most citedUnderstanding, Categorizing and Predicting Semantic Image-Text Relations

18 citations · 34 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL20222 cited

MM-Claims: A Dataset for Multimodal Claim Detection in Social Media

Gullal S. Cheema, Sherzod Hakimov, Abdul Sittar +3

In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work o…

cs.IR20229 cited

SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search

Christian Otto, Markus Rokicki, Georg Pardi +9

The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts…

cs.IR20211 cited

Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption

Christian Otto, Ran Yu, Georg Pardi +7

In informal learning scenarios the popularity of multimedia content, such as video tutorials or lectures, has significantly increased. Yet, the users' interactions, navigation beha…

cs.MM20204 cited

Investigating Correlations of Automatically Extracted Multimodal Features and Lecture Video Quality

Jianwei Shi, Christian Otto, Anett Hoppe +2

Ranking and recommendation of multimedia content such as videos is usually realized with respect to the relevance to a user query. However, for lecture videos and MOOCs (Massive Op…

cs.MM2019

Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction

Hang Zhou, Christian Otto, Ralph Ewerth

Effective learning with audiovisual content depends on many factors. Besides the quality of the learning resource's content, it is essential to discover the most relevant and suita…

cs.MM201918 cited

Understanding, Categorizing and Predicting Semantic Image-Text Relations

Christian Otto, Matthias Springstein, Avishek Anand +1

Two modalities are often used to convey information in a complementary and beneficial manner, e.g., in online news, videos, educational resources, or scientific publications. The a…