18392369. ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
Dhairya Sandhyana of Suwon-si (KR)
ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18392369 titled 'ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
Simplified Explanation
The electronic apparatus described in the patent application is designed to extract objects and characters from image data, identify them, generate a bias keyword list based on the identified objects and characters, convert speech data to text using the bias keyword list and a language contextual model, and display the converted text as captions.
- Communication interface to receive content comprising image data and speech data
- Memory to store a language contextual model trained with relevance between words
- Display for showing the converted text
- Processor to extract objects and characters, identify object names, generate bias keyword list, convert speech data to text, and control display
Potential Applications
This technology could be applied in:
- Automatic captioning for images and videos
- Language translation services
- Assistive technologies for individuals with hearing impairments
Problems Solved
This technology addresses the following issues:
- Improving accessibility to visual content for individuals with hearing impairments
- Enhancing user experience by providing accurate and relevant captions for images and videos
Benefits
The benefits of this technology include:
- Increased accessibility to multimedia content
- Improved user engagement with visual media
- Enhanced communication for individuals with hearing impairments
Potential Commercial Applications
The potential commercial applications of this technology could be:
- Integration into social media platforms for automatic captioning of user-generated content
- Inclusion in smart devices for real-time translation and captioning services
Possible Prior Art
One possible prior art for this technology could be existing speech-to-text and image recognition systems that are used for captioning and translation services.
Unanswered Questions
How does the accuracy of the object and character identification impact the overall performance of the system?
The accuracy of object and character identification is crucial for generating relevant bias keyword lists and converting speech data accurately. Higher accuracy can lead to more precise captions and better user experience.
What are the limitations of the language contextual model in handling different languages and dialects?
The language contextual model may have limitations in handling languages and dialects that are not well-represented in the training data. This could affect the accuracy of speech-to-text conversion and the relevance of the generated captions.
Original Abstract Submitted
An electronic apparatus and a control method thereof are provided. The electronic apparatus includes a communication interface configured to receive content comprising image data and speech data; a memory configured to store a language contextual model trained with relevance between words; a display; and a processor configured to: extract an object and a character included in the image data, identify an object name of the object and the character, generate a bias keyword list comprising an image-related word that is associated with the image data, based on the identified object name and the identified character, convert the speech data to a text based on the bias keyword list and the language contextual model, and control the display to display the text that is converted from the speech data, as a caption.
