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2020 – today
- 2022
[c48]Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang:
DCNGAN: A Deformable Convolution-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. ICASSP 2022: 2035-2039- [i41]Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang:
DCNGAN: A Deformable Convolutional-Based GAN with QP Adaptation for Perceptual Quality Enhancement of Compressed Video. CoRR abs/2201.08944 (2022) - [i40]Vacit Oguz Yazici, Longlong Yu, Arnau Ramisa, Luis Herranz, Joost van de Weijer:
Main Product Detection with Graph Networks for Fashion. CoRR abs/2201.10431 (2022) - [i39]Zhaocheng Liu, Luis Herranz, Fei Yang, Saiping Zhang, Shuai Wan, Marta Mrak, Marc Górriz Blanch:
Slimmable Video Codec. CoRR abs/2205.06754 (2022) - [i38]Saiping Zhang, Luis Herranz, Marta Mrak, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang:
PeQuENet: Perceptual Quality Enhancement of Compressed Video with Adaptation- and Attention-based Network. CoRR abs/2206.07893 (2022) - 2021
- [j25]Yaxing Wang, Abel Gonzalez-Garcia, Luis Herranz
, Joost van de Weijer:
Controlling biases and diversity in diverse image-to-image translation. Comput. Vis. Image Underst. 202: 103082 (2021) - [j24]Kai Wang, Joost van de Weijer, Luis Herranz:
ACAE-REMIND for online continual learning with compressed feature replay. Pattern Recognit. Lett. 150: 122-129 (2021) - [j23]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
On Implicit Attribute Localization for Generalized Zero-Shot Learning. IEEE Signal Process. Lett. 28: 872-876 (2021) - [j22]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. 30: 3069-3083 (2021) - [c47]Chengyi Zou, Shuai Wan, Tiannan Ji, Marta Mrak, Marc Górriz Blanch, Luis Herranz:
Spatial Information Refinement for Chroma Intra Prediction in Video Coding. APSIPA ASC 2021: 1422-1427 - [c46]Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer:
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC 2021: 119 - [c45]Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak:
DANICE: Domain Adaptation Without Forgetting in Neural Image Compression. CVPR Workshops 2021: 1921-1925 - [c44]Kai Wang, Luis Herranz, Joost van de Weijer:
Continual Learning in Cross-Modal Retrieval. CVPR Workshops 2021: 3628-3638 - [c43]Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov:
Slimmable Compressive Autoencoders for Practical Neural Image Compression. CVPR 2021: 4998-5007 - [c42]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. ICCV 2021: 8958-8967 - [c41]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. NeurIPS 2021: 29393-29405 - [c40]Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz Blanch, Shuai Wan, Fuzheng Yang:
DVC-P: Deep Video Compression with Perceptual Optimizations. VCIP 2021: 1-5 - [i37]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
On Implicit Attribute Localization for Generalized Zero-Shot Learning. CoRR abs/2103.04704 (2021) - [i36]Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov:
Slimmable Compressive Autoencoders for Practical Neural Image Compression. CoRR abs/2103.15726 (2021) - [i35]Kai Wang, Luis Herranz, Joost van de Weijer:
Continual learning in cross-modal retrieval. CoRR abs/2104.06806 (2021) - [i34]Sudeep Katakol, Luis Herranz, Fei Yang, Marta Mrak:
DANICE: Domain adaptation without forgetting in neural image compression. CoRR abs/2104.09370 (2021) - [i33]Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer:
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. CoRR abs/2104.13742 (2021) - [i32]Kai Wang, Luis Herranz, Joost van de Weijer:
ACAE-REMIND for Online Continual Learning with Compressed Feature Replay. CoRR abs/2105.08595 (2021) - [i31]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Generalized Source-free Domain Adaptation. CoRR abs/2108.01614 (2021) - [i30]Saiping Zhang, Marta Mrak, Luis Herranz, Marc Górriz, Shuai Wan, Fuzheng Yang:
DVC-P: Deep Video Compression with Perceptual Optimizations. CoRR abs/2109.10849 (2021) - [i29]Chengyi Zou, Shuai Wan, Tiannan Ji, Marta Mrak, Marc Górriz Blanch, Luis Herranz:
Spatial Information Refinement for Chroma Intra Prediction in Video Coding. CoRR abs/2109.11913 (2021) - [i28]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation. CoRR abs/2110.04202 (2021) - [i27]Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer:
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR abs/2110.11148 (2021) - [i26]Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer:
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR abs/2111.04993 (2021) - [i25]Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov:
A Novel Framework for Image-to-image Translation and Image Compression. CoRR abs/2111.13105 (2021) - 2020
- [j21]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation. Int. J. Comput. Vis. 128(12): 2849-2872 (2020) - [j20]Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov:
Variable Rate Deep Image Compression With Modulated Autoencoder. IEEE Signal Process. Lett. 27: 331-335 (2020) - [j19]Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Multifaceted Analysis of Fine-Tuning in a Deep Model for Visual Recognition. Trans. Data Sci. 1(1): 4:1-4:22 (2020) - [c39]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CVPR Workshops 2020: 915-924 - [c38]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CVPR 2020: 6980-6989 - [c37]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR 2020: 9329-9338 - [c36]Xinhang Song, Haitao Zeng, Sixian Zhang, Luis Herranz, Shuqiang Jiang:
Generalized Zero-shot Learning with Multi-source Semantic Embeddings for Scene Recognition. ACM Multimedia 2020: 3976-3985 - [i24]Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer:
Semantic Drift Compensation for Class-Incremental Learning. CoRR abs/2004.00440 (2020) - [i23]Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan C. Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer:
Generative Feature Replay For Class-Incremental Learning. CoRR abs/2004.09199 (2020) - [i22]Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López:
Distributed Learning and Inference with Compressed Images. CoRR abs/2004.10497 (2020) - [i21]Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer:
Simple and effective localized attribute representations for zero-shot learning. CoRR abs/2006.05938 (2020) - [i20]Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer:
Bookworm continual learning: beyond zero-shot learning and continual learning. CoRR abs/2006.15176 (2020) - [i19]Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui:
Unsupervised Domain Adaptation without Source Data by Casting a BAIT. CoRR abs/2010.12427 (2020)
2010 – 2019
- 2019
- [j18]Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen:
Learning Effective RGB-D Representations for Scene Recognition. IEEE Trans. Image Process. 28(2): 980-993 (2019) - [c35]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. ACM Multimedia 2019: 1267-1276 - [i18]Yaxing Wang, Luis Herranz, Joost van de Weijer:
Mix and match networks: multi-domain alignment for unpaired image-to-image translation. CoRR abs/1903.04294 (2019) - [i17]Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition. CoRR abs/1907.05099 (2019) - [i16]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
Controlling biases and diversity in diverse image-to-image translation. CoRR abs/1907.09754 (2019) - [i15]Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer, Luis Herranz:
SDIT: Scalable and Diverse Cross-domain Image Translation. CoRR abs/1908.06881 (2019) - [i14]Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer:
MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR abs/1912.05270 (2019) - [i13]Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov:
Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR abs/1912.05526 (2019) - 2018
- [c34]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation. CVPR 2018: 5467-5476 - [c33]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan C. Raducanu:
Transferring GANs: Generating Images from Limited Data. ECCV (6) 2018: 220-236 - [c32]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR 2018: 2262-2268 - [c31]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan C. Raducanu:
Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS 2018: 5966-5976 - [c30]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. WMT (shared task) 2018: 597-602 - [i12]Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs. CoRR abs/1801.06797 (2018) - [i11]Luis Herranz, Shuqiang Jiang, Xiangyang Li:
Scene recognition with CNNs: objects, scales and dataset bias. CoRR abs/1801.06867 (2018) - [i10]Luis Herranz, Weiqing Min, Shuqiang Jiang:
Food recognition and recipe analysis: integrating visual content, context and external knowledge. CoRR abs/1801.07239 (2018) - [i9]Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov:
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR abs/1802.02950 (2018) - [i8]Yaxing Wang, Joost van de Weijer, Luis Herranz:
Mix and match networks: encoder-decoder alignment for zero-pair image translation. CoRR abs/1804.02199 (2018) - [i7]Yaxing Wang, Chenshen Wu, Luis Herranz, Joost van de Weijer, Abel Gonzalez-Garcia, Bogdan C. Raducanu:
Transferring GANs: generating images from limited data. CoRR abs/1805.01677 (2018) - [i6]Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. CoRR abs/1809.00151 (2018) - [i5]Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan C. Raducanu:
Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR abs/1809.02058 (2018) - [i4]Xinhang Song, Shuqiang Jiang, Luis Herranz, Chengpeng Chen:
Learning Effective RGB-D Representations for Scene Recognition. CoRR abs/1809.06269 (2018) - [i3]Hugo Prol, Vincent Dumoulin, Luis Herranz:
Cross-Modulation Networks for Few-Shot Learning. CoRR abs/1812.00273 (2018) - 2017
- [j17]Weiqing Min, Shuqiang Jiang, Shuhui Wang, Ruihan Xu, Yushan Cao, Luis Herranz, Zhiqiang He:
A survey on context-aware mobile visual recognition. Multim. Syst. 23(6): 647-665 (2017) - [j16]Xinhang Song, Shuqiang Jiang, Luis Herranz:
Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold. IEEE Trans. Image Process. 26(6): 2721-2735 (2017) - [j15]Luis Herranz, Shuqiang Jiang, Ruihan Xu:
Modeling Restaurant Context for Food Recognition. IEEE Trans. Multim. 19(2): 430-440 (2017) - [j14]Weiqing Min, Shuqiang Jiang, Jitao Sang, Huayang Wang, Xinda Liu, Luis Herranz:
Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. IEEE Trans. Multim. 19(5): 1100-1113 (2017) - [c29]Xinhang Song, Luis Herranz, Shuqiang Jiang:
Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs. AAAI 2017: 4271-4277 - [c28]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez:
Domain-Adaptive Deep Network Compression. ICCV 2017: 4299-4307 - [c27]Xinhang Song, Shuqiang Jiang, Luis Herranz:
Combining Models from Multiple Sources for RGB-D Scene Recognition. IJCAI 2017: 4523-4529 - [c26]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. WMT 2017: 432-439 - [i2]Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer:
LIUM-CVC Submissions for WMT17 Multimodal Translation Task. CoRR abs/1707.04481 (2017) - [i1]Marc Masana, Joost van de Weijer, Luis Herranz, Andrew D. Bagdanov, Jose M. Álvarez:
Domain-adaptive deep network compression. CoRR abs/1709.01041 (2017) - 2016
- [j13]Luis Herranz, Jian Cheng, Yue Gao, Shuqiang Jiang:
Guest Editorial: Image Analysis and Processing Leveraging Additional Information. Multim. Tools Appl. 75(7): 3933-3936 (2016) - [j12]Luis Herranz, Shuqiang Jiang:
Scalable storyboards in handheld devices: applications and evaluation metrics. Multim. Tools Appl. 75(20): 12597-12625 (2016) - [j11]Xinhang Song, Shuqiang Jiang, Luis Herranz, Yan Kong, Kai Zheng:
Category co-occurrence modeling for large scale scene recognition. Pattern Recognit. 59: 98-111 (2016) - [c25]Luis Herranz, Shuqiang Jiang, Xiangyang Li:
Scene Recognition with CNNs: Objects, Scales and Dataset Bias. CVPR 2016: 571-579 - [c24]Xiangyang Li, Xinhang Song, Luis Herranz, Yaohui Zhu, Shuqiang Jiang:
Image Captioning with both Object and Scene Information. ACM Multimedia 2016: 1107-1110 - [c23]Xiangyang Li, Luis Herranz, Shuqiang Jiang:
Heterogeneous Convolutional Neural Networks for Visual Recognition. PCM (2) 2016: 262-274 - 2015
- [j10]Xiong Lv, Shuqiang Jiang, Luis Herranz, Shuang Wang:
RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion. J. Comput. Sci. Technol. 30(2): 340-352 (2015) - [j9]Ruihan Xu, Luis Herranz, Shuqiang Jiang, Shuang Wang, Xinhang Song, Ramesh C. Jain:
Geolocalized Modeling for Dish Recognition. IEEE Trans. Multim. 17(8): 1187-1199 (2015) - [c22]Xinhang Song, Shuqiang Jiang, Luis Herranz:
Joint multi-feature spatial context for scene recognition in the semantic manifold. CVPR 2015: 1312-1320 - [c21]Luis Herranz, Ruihan Xu, Shuqiang Jiang:
A probabilistic model for food image recognition in restaurants. ICME 2015: 1-6 - [c20]Xiong Lv, Shuqiang Jiang, Luis Herranz, Shuang Wang:
Hand-Object Sense: A Hand-held Object Recognition System Based on RGB-D Information. ACM Multimedia 2015: 765-766 - 2014
- [c19]Luis Herranz, Shuqiang Jiang:
Accuracy and Specificity Trade-off in k -nearest Neighbors Classification. ACCV (2) 2014: 133-146 - [c18]Xinhang Song, Shuqiang Jiang, Ruihan Xu, Luis Herranz:
Semantic Features for Food Image Recognition with Geo-Constraints. ICDM Workshops 2014: 1020-1025 - [c17]Cheng Guo, Luis Herranz, Lifang Wu, Shuqiang Jiang:
Region annotations in hashing based image retrieval. ICIMCS 2014: 355 - [c16]Xiangyang Li, Shuqiang Jiang, Xinhang Song, Luis Herranz, Zhiping Shi:
Multipath Convolutional-Recursive Neural Networks for Object Recognition. Intelligent Information Processing 2014: 269-277 - 2013
- [j8]Luis Herranz, José María Martínez Sanchez:
Combining MPEG Tools to Generate Video Summaries Adapted to the Terminal and Network. Comput. J. 56(5): 529-553 (2013) - [c15]Shuai Zheng, Luis Herranz, Shuqiang Jiang:
Flexible navigation in smartphones and tablets using scalable storyboards. ICMR 2013: 319-320 - 2012
- [j7]Luis Herranz, Janko Calic, José M. Martínez, Marta Mrak:
Scalable Comic-Like Video Summaries and Layout Disturbance. IEEE Trans. Multim. 14(4): 1290-1297 (2012) - [c14]Luis Herranz:
Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards. ICME Workshops 2012: 278-283 - [c13]Fang Wang, Shuqiang Jiang, Luis Herranz, Qingming Huang:
Improving Image Distance Metric Learning by Embedding Semantic Relations. PCM 2012: 424-434 - [c12]Luis Herranz, Huiying Liu, Shuqiang Jiang:
Effective Comic-Like Representations with Embedded Regions of Interest. PCM 2012: 464-475 - 2010
- [j6]Luis Herranz, José M. Martínez:
A Framework for Scalable Summarization of Video. IEEE Trans. Circuits Syst. Video Technol. 20(9): 1265-1270 (2010) - [c11]Luis Herranz, José María Martínez Sanchez:
On the Advantages of the Use of Bitstream Extraction for Video Summary Generation. MMM 2010: 755-760
2000 – 2009
- 2009
- [j5]Luis Herranz, José M. Martínez:
An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC. Signal Process. Image Commun. 24(6): 499-509 (2009) - [j4]Luis Herranz, José M. Martínez:
On the use of hierarchical prediction structures for efficient summary generation of H.264/AVC bitstreams. Signal Process. Image Commun. 24(8): 615-629 (2009) - [c10]Luis Herranz, José M. Martínez:
An efficient summarization algorithm based on clustering and bitstream extraction. ICME 2009: 654-657 - 2008
- [c9]Luis Herranz, José María Martínez Sanchez:
Generation of scalable summaries based on iterative GoP ranking. ICIP 2008: 2544-2547 - 2007
- [j3]Luis Herranz:
Integrating semantic analysis and scalable video coding for efficient content-based adaptation. Multim. Syst. 13(2): 103-118 (2007) - [j2]Jesús Bescós, José M. Martínez, Luis Herranz, Fabricio Tiburzi:
Content-driven adaptation of on-line video. Signal Process. Image Commun. 22(7-8): 651-668 (2007) - [c8]Jesús Bescós, José M. Martínez, Luis Herranz, Fabricio Tiburzi:
Content-Driven Adaptation of On-Line Video. CBMI 2007: 122-129 - [c7]Luis Herranz, José María Martínez Sanchez:
Use Cases of Scalable Video Based Summarization and Adaptation Within MPEG-21 DIA. SAMT 2007: 256-259 - [c6]Luis Herranz, José M. Martínez:
Adapting Surneillance Video to Small Displays Via Object-Based Cropping. WIAMIS 2007: 72 - 2006
- [j1]Marta Padilla, José María Martínez Sanchez, Luis Herranz:
Video summaries generation and access via personalized delivery of multimedia presentations adapted to service and terminal. Int. J. Intell. Syst. 21(7): 785-800 (2006) - [c5]Luis Herranz, Fabricio Tiburzi, Jesús Bescós:
An Engine for Content-Aware On-Line Video Adaptation. SAMT 2006: 101-112 - [c4]Luis Herranz, Fabricio Tiburzi, Jesús Bescós:
Extraction of Motion Activity from Scalable-Coded Video Sequences. SAMT 2006: 148-158 - [c3]Luis Herranz:
A Framework for Online Semantic Adaptation of Scalable Video. SMAP 2006: 13-18 - 2004
- [c2]Ana García, José María Martínez Sanchez, Luis Herranz:
Universal and Personalized Access to Content via J2ME Terminals in the DYMAS System. CIVR 2004: 225-233 - [c1]José María Martínez Sanchez, Jesús Bescós, Víctor Valdés, Luis Herranz:
Integrating Metadata-Driven Content Adaptation Approaches. EWIMT 2004
Coauthor Index