Sentic Album: Content-, Concept-, and Context-Based Online Personal Photo Management System

@article{Cambria2012SenticAC,
  title={Sentic Album: Content-, Concept-, and Context-Based Online Personal Photo Management System},
  author={E. Cambria and Amir Hussain},
  journal={Cognitive Computation},
  year={2012},
  volume={4},
  pages={477-496}
}
The world of online personal photo management has come a long way in the past few years, but today, there are still huge gaps in annotating, organizing, and retrieving online pictures in such a way that they can be easily queried and visualized. Existing content-based image retrieval systems apply statistics, pattern recognition, signal processing, and computer vision techniques but these are still too weak to ‘bridge the semantic gap’ between the low-level data representation and the high… 
User specific context construction for personalized multimedia retrieval
TLDR
This paper presents a novel framework and techniques for retrieving user's multimedia content like images from the user’s profile using the context of the image/media file, and addresses the paraphrase problem of variation in words used to describe a context of a media file.
Application of common sense computing for the development of a novel knowledge-based opinion mining engine
TLDR
The ways people express their opinions and sentiments have radically changed in the past few years thanks to the advent of social networks, web communities, blogs, wikis and other online collaborative media, but these online social data remain hardly accessible to computers, as they are specifically meant for human consumption.
Tag your emotions: a novel mobile user interface for annotating images with emotions
TLDR
Results show that the EmoWheel can enhance the motivation to annotate images and focus on emotions, which is very important to describe the context of an image.
A Localization Toolkit for Sentic Net
TLDR
A concept disambiguation algorithm to discover context within texts within texts in the target language is developed and an algorithm is developed to detect sentiment conflict using sentiment annotation corpora in the two languages.
A Localization Toolkit for SenticNet
TLDR
A concept disambiguation algorithm to discover context within texts within texts in the target language is developed and an algorithm is developed to detect sentiment conflict using sentiment annotation corpora in the two languages.
ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams
TLDR
The developed platform demonstrated to be suitable for being used into real-world scenarios requiring the capability of processing real-time opinion-based documents streams and the availability of usable facilities for analyzing and visualizing collected data.
Context based image retrieval framework for smartphones
  • Shirish Singh, Praveen Kumar
  • Computer Science
    2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)
  • 2015
TLDR
A context based search technique for personalized image retrieval, based on Logical Item-set Mining on Image Hash-Tags given by the users, shows promising results.
Sentribute: image sentiment analysis from a mid-level perspective
TLDR
This paper proposes an image sentiment prediction framework, which leverages the mid-level attributes of an image to predict its sentiment, and introduces eigenface-based facial expression detection as an additional mid- level attributes.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 95 REFERENCES
EGO: A personalized multimedia management and retrieval tool
TLDR
This article proposes a “retrieval in context” system, EGO, a tool for the management of image collections, supporting the user through personalization and adaptation, and describes how it learns from the user's personal organization, allowing it to recommend relevant images to the user.
MediAssist: Using Content-Based Analysis and Context to Manage Personal Photo Collections
TLDR
The MediAssist demonstration system illustrates the results of research into digital photo management, showing how a combination of automatically extracted context and content-based information, together with user annotation, facilitates efficient searching of personal photo collections.
An adaptive technique for content-based image retrieval
TLDR
Results from a user-centred, work-task oriented evaluation show that the ostensive interface is preferred over a traditional interface with manual query facilities due to its ability to adapt to the user's need, its intuitiveness and the fluid way in which it operates.
ImageGrouper: Search, Annotate and Organize Images by Groups
In Content-based Image Retrieval (CBIR), trial-and-error query is essential for successful retrieval. Unfortunately, the traditional user interfaces are not suitable for trying different combinations
AN ADAPTIVE APPROACH TOWARDS CONTENT-BASED IMAGE RETRIEVAL
TLDR
Results from a user-centred, task-oriented evaluation show that the ostensive interface is preferred over a traditional interface with manual query facilities, because of its ability to adapt to the user’s need, and its very intuitive and fluid way of operation.
Virage image search engine: an open framework for image management
TLDR
The Virage engine provides an open framework for developers to 'plug-in' primitives to solve specific image management problems and can be utilized to address high-level problems as well, such as automatic, unsupervised keyword assignment, or image classification.
IGroup: web image search results clustering
TLDR
IGroup, an efficient and effective algorithm that organizes Web image search results into clusters based on a key phrases extraction algorithm originally proposed for clustering general Web search results is proposed.
Content-based multimedia information retrieval: State of the art and challenges
TLDR
This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.
Sentic Computing for social media marketing
TLDR
This work uses Sentic Computing, a multi-disciplinary approach to opinion mining and sentiment analysis, to semantically and affectively analyze text and encode results in a semantic aware format according to different web ontologies to represent this information as an interconnected knowledge base.
Query refinement for multimedia similarity retrieval in MARS
TLDR
This paper presents the query re nement approach used in the Multimedia Analysis and Retrieval System (MARS) for learning query representations through relevance feedback, and proposes query evaluation techniques for processing similarity queries and re ned queries in MARS.
...
1
2
3
4
5
...