Hanjalic, A.
* 1996: 3D Motion and Scene Structure Estimation with Motion Dependent Distortion of Measurement Windows
* 1996: Visual search in a SMASH system
* 1998: Template-based detection of anchorperson shots in news programs
* 1999: Automated High-Level Movie Segmentation for Advanced Video-Retrieval Systems
* 1999: Efficient image CODEC with reduced content access work
* 1999: integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis, An
* 2001: Recent Advances In Video Content Analysis: From Visual Features to Semantic Video Segments
* 2001: User-Oriented Affective Video Content Analysis
* 2002: Shot-boundary detection: unraveled and resolved?
* 2003: Logo recognition in video stills by string matching
* 2004: Content-Based Analysis of Digital Video
* 2005: Outlier identification in stereo correspondences using quadrics
* 2006: Towards a Robust Solution to People Counting
* 2007: Combined RANSAC-Hough Transform Algorithm for Fundamental Matrix Estimation, A
* 2007: Comparison of face matching techniques under pose variation
* 2007: On the development of an autonomous and self-adaptable moving object detector
* 2007: Towards Theoretical Performance Limits of Video Parsing
* 2008: Accurate eye localization in low and standard definition content
* 2008: Eye localization for face matching: is it always useful and under what conditions?
* 2008: Holy Grail of Multimedia Information Retrieval: So Close or Yet So Far Away?, The
* 2008: Online training of object detectors from unlabeled surveillance video
* 2009: Eye localization in low and standard definition content with application to face matching
* 2009: On emerging techniques for multimedia content sharing, search and understanding
* 2009: Unsupervised and simultaneous training of multiple object detectors from unlabeled surveillance video
* 2010: Contextual image retrieval model
* 2010: System Concept for Socially Enriched Access to Soccer Video Collections, A
* 2011: Object Retrieval Using Visual Query Context
* 2012: Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval
* 2012: New Grand Challenge for Multimedia Information Retrieval: Bridging the Utility Gap
* 2012: Prototype-Based Image Search Reranking
* 2012: structure-based video representation for web video categorization, A
* 2013: Generating Visual Summaries of Geographic Areas Using Community-Contributed Images
* 2013: Learning Crowdsourced User Preferences for Visual Summarization of Image Collections
* 2013: Learning to Rerank Web Images
* 2013: Searching for images by video
* 2013: When music makes a scene
* 2014: Corpus Development for Affective Video Indexing
* 2014: Intent-Aware Video Search Result Optimization
* 2014: Predicting Failing Queries in Video Search
* 2015: Exploiting the Deep-Link Commentsphere to Support Non-Linear Video Access
* 2015: Global-Scale Location Prediction for Social Images Using Geo-Visual Ranking
* 2015: Guest Editorial: Challenges and Perspectives for Affective Analysis in Multimedia
* 2015: Multimedia Search: From Relevance to Usefulness
* 2015: Pairwise geometric matching for large-scale object retrieval
* 2015: Uploader Intent for Online Video: Typology, Inference, and Applications
* 2016: On detecting the playing/non-playing activity of musicians in symphonic music videos
* 2016: Reliable Methodology to Collect Ground Truth Data of Image Aesthetic Appeal, A
* 2016: User Intent in Multimedia Search: A Survey of the State of the Art and Future Challenges
* 2017: Exploiting scene maps and spatial relationships in quasi-static scenes for video face clustering
* 2018: Detecting Socially Significant Music Events Using Temporally Noisy Labels
* 2018: Geo-Distinctive Visual Element Matching for Location Estimation of Images
* 2018: Semantic-aware blind image quality assessment
* 2018: Video Captioning by Adversarial LSTM
* 2020: Unified Binary Generative Adversarial Network for Image Retrieval and Compression
* 2022: Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited
* 2023: Few-Shot Learning for Fine-Grained Emotion Recognition Using Physiological Signals
* 2023: Weakly-Supervised Learning for Fine-Grained Emotion Recognition Using Physiological Signals
Includes: Hanjalic, A. Hanjalic, A.[Alan]
57 for Hanjalic, A.
Hanji, P.[Param]
* 2021: How to cheat with metrics in single-image HDR reconstruction