# IEEE Transactions on Multimedia

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/ieee-transactions-on-multimedia/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1520-9210 |
| ISSNs | 1520-9210,1941-0077 |
| OpenAlex ID | https://openalex.org/S137030581 |
| Publisher | Institute of Electrical and Electronics Engineers |

## Journal papers

- [Content-Based Copy Retrieval Using Distortion-Based Probabilistic Similarity Search](https://scholariq.org/papers/content-based-copy-retrieval-using-distortion-based-probabilistic-similarity/)
- [Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification](https://scholariq.org/papers/where-and-when-to-look-deep-siamese-attention-networks-for-video-based-person-re/)
- [Self-Learning Based Image Decomposition With Applications to Single Image Denoising](https://scholariq.org/papers/self-learning-based-image-decomposition-with-applications-to-single-image/)
- [Two-View 3D Reconstruction for Food Volume Estimation](https://scholariq.org/papers/two-view-3d-reconstruction-for-food-volume-estimation/)
- [Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?](https://scholariq.org/papers/which-has-better-visual-quality-the-clear-blue-sky-or-a-blurry-animal/)
- [HodgeRank on Random Graphs for Subjective Video Quality Assessment](https://scholariq.org/papers/hodgerank-on-random-graphs-for-subjective-video-quality-assessment/)
- [Quality metric for approximating subjective evaluation of 3-D objects](https://scholariq.org/papers/quality-metric-for-approximating-subjective-evaluation-of-3-d-objects/)
- [MsgFusion: Medical Semantic Guided Two-Branch Network for Multimodal Brain Image Fusion](https://scholariq.org/papers/msgfusion-medical-semantic-guided-two-branch-network-for-multimodal-brain-image/)
- [Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking](https://scholariq.org/papers/split-and-connect-a-universal-tracklet-booster-for-multi-object-tracking/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.