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- Image Retrieval: Current Techniques, Promising Directions, and Open Issues2,642
The survey includes 100+ papers covering the research aspects of image feature representation and extraction, multidimensional indexing, and system design, three of the fundamental bases of content-based image retrieval.
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- Relevance feedback: a power tool for interactive content-based image retrieval2,082
A relevance feedback based interactive retrieval approach that effectively takes into account the subjectivity of human perception of visual content and the gap between high-level concepts and low-level features in CBIR.
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- Jointly Modeling Embedding and Translation to Bridge Video and Language597
A novel unified framework, named Long Short-Term Memory with visual-semantic Embedding (LSTM-E), which can simultaneously explore the learning of LSTM and visual- semantic embedding and outperforms several state-of-the-art techniques in predicting Subject-Verb-Object (SVO) triplets.
- 554
- Automatically extracting highlights for TV Baseball programs507
This paper explores how to provide for the ability to extract highlights automatically, so that viewing time can be reduced, and presents results comparing output of algorithms against human-selected highlights for a diverse collection of baseball games with very encouraging results.
- Correlative multi-label video annotation504
A third paradigm is proposed which simultaneously classifies concepts and models correlations between them in a single step by using a novel Correlative Multi-Label (CML) framework and is compared with the state-of-the-art approaches in the first and second paradigms on the widely used TRECVID data set.
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- A Survey on Food Computing405
This is the first comprehensive survey that targets the study of computing technology for the food area and also offers a collection of research studies and technologies to benefit researchers and practitioners working in different food-related fields.
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- Distributed meetings258
A system that provides speaker clustering, spatial indexing, and time compression to provide a rich experience for people who miss a meeting and want to watch it afterward and a user study evaluation of the system is described.
- 244
- Relevance feedback techniques in interactive content-based image retrieval244
A relevance feedback based interactive retrieval approach, which effectively takes into account the above two characteristics in CBIR and greatly reduces the user's effort of composing a query and captures the users' information need more precisely.
- Multimedia search reranking228
Categorize and evaluate algorithms for visual search reranking, which reorders visual documents based on multimodal cues to improve initial text-only searches, and discuss relevant issues such as data collection, evaluation metrics, and benchmarking.
- 220
- Supporting ranked Boolean similarity queries in MARS212
The ranking and retrieval algorithms developed in MARS based on the Boolean retrieval model are discussed and the results of the experiments that demonstrate the effectiveness of the developed model for image retrieval are described.
- Automatically Solving Number Word Problems by Semantic Parsing and Reasoning210
A new meaning representation language is designed to bridge natural language text and math expressions and a CFG parser is implemented based on 9,600 semi-automatically created grammar rules.
- Location Discriminative Vocabulary Coding for Mobile Landmark Search191
A Location Discriminative Vocabulary Coding (LDVC) scheme, which achieves extremely low bit rate query transmission, discriminative landmark description, as well as scalable descriptor delivery in a unified framework is presented.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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