ADVISE: Symbolism and External Knowledge for Decoding Advertisements
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Abstract (arXiv)
In order to convey the most content in their limited space, advertisements embed references to outside knowledge via symbolism. For example, a motorcycle stands for adventure (a positive property the ad wants associated with the product being sold), and a gun stands for danger (a negative property to dissuade viewers from undesirable behaviors). We show how to use symbolic references to better understand the meaning of an ad. We further show how anchoring ad understanding in general-purpose object recognition and image captioning improves results. We formulate the ad understanding task as matching the ad image to human-generated statements that describe the action that the ad prompts, and the rationale it provides for taking this action. Our proposed method outperforms the state of the art on this task, and on an alternative formulation of question-answering on ads. We show additional applications of our learned representations for matching ads to slogans, and clustering ads according to their topic, without extra training.
Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Nov 2017.
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Citing papers per year: 2021: 6; 2022: 6; 2023: 4; 2024: 4; 2025: 1.
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- 2022MetaCLUE: Towards Comprehensive Visual Metaphors Researchcited by 28
- 2023Text-to-Image Generation for Abstract Conceptscited by 18
- 2021Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causalitycited by 17
- 2021Analyzing Online Political Advertisementscited by 11
- 2023A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shotcited by 11
- 2024Benchmarking VLMs' Reasoning About Persuasive Atypical Imagescited by 5
- 2021TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similaritycited by 4
- 2023Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categoriescited by 4
- 2022Symbolic image detection using scene and knowledge graphscited by 3
- 2025Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understandingcited by 3
- 2024Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Modelscited by 2
- 2024Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classificationcited by 1
9 more
- 2024For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archivescited by 1
- 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysiscited by 0
- 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Searchcited by 0
- 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generationcited by 0
- 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectorscited by 0
- 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networkscited by 0
- 2022Explanation-Guided Fairness Testing through Genetic Algorithmcited by 0
- 2022Using Graph Neural Networks for Program Terminationcited by 0
- 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGramcited by 0
- 2025Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding28 Aug 2025
- 2024Benchmarking VLMs' Reasoning About Persuasive Atypical Images16 Sep 2024
- 2024For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives3 Jul 2024
- 2024Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models31 May 2024
- 2024Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification29 Feb 2024
- 2023Text-to-Image Generation for Abstract Concepts26 Sep 2023
- 2023Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories21 Aug 2023
- 2023A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot16 May 2023
- 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGram16 Mar 2023
- 2022MetaCLUE: Towards Comprehensive Visual Metaphors Research19 Dec 2022
- 2022Using Graph Neural Networks for Program Termination28 Jul 2022
- 2022Symbolic image detection using scene and knowledge graphs10 Jun 2022
9 more
- 2022Explanation-Guided Fairness Testing through Genetic Algorithm16 May 2022
- 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks8 Mar 2022
- 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors6 Feb 2022
- 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generation13 Sep 2021
- 2021TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity18 Aug 2021
- 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search5 Aug 2021
- 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis3 Aug 2021
- 2021Analyzing Online Political Advertisements9 May 2021
- 2021Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality11 Mar 2021
- 2022MetaCLUE: Towards Comprehensive Visual Metaphors Researchcited by 28
- 2023Text-to-Image Generation for Abstract Conceptscited by 18
- 2021Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causalitycited by 17
- 2021Analyzing Online Political Advertisementscited by 11
- 2023A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shotcited by 11
- 2021TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similaritycited by 4
- 2023Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categoriescited by 4
- 2022Symbolic image detection using scene and knowledge graphscited by 3
- 2025Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understandingcited by 3
- 2024Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Modelscited by 2
- 2024Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classificationcited by 1
- 2024For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archivescited by 1
12 most cited of 20 All 20 (JSON)
- 2025Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding28 Aug 2025
- 2024For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives3 Jul 2024
- 2024Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models31 May 2024
- 2024Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification29 Feb 2024
- 2023Text-to-Image Generation for Abstract Concepts26 Sep 2023
- 2023Seeing the Intangible: Survey of Image Classification into High-Level and Abstract Categories21 Aug 2023
- 2023A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot16 May 2023
- 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGram16 Mar 2023
- 2022MetaCLUE: Towards Comprehensive Visual Metaphors Research19 Dec 2022
- 2022Using Graph Neural Networks for Program Termination28 Jul 2022
- 2022Symbolic image detection using scene and knowledge graphs10 Jun 2022
- 2022Explanation-Guided Fairness Testing through Genetic Algorithm16 May 2022
12 newest of 20 All 20 (JSON)